Triple
T816969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PostgreSQL |
E17669
|
entity |
| Predicate | supportsLanguage |
P2177
|
FINISHED |
| Object |
PL/Tcl
PL/Tcl is a procedural language extension for PostgreSQL that allows writing database functions and triggers using the Tcl scripting language.
|
E97111
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: PL/Tcl | Statement: [PostgreSQL, supportsLanguage, PL/Tcl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PL/Tcl Context triple: [PostgreSQL, supportsLanguage, PL/Tcl]
-
A.
PDL
PDL is a former name for USL League Two, a North American pre-professional soccer league that serves as a key development platform for college-aged and aspiring professional players.
-
B.
SETL
SETL is a high-level programming language developed in the late 1960s that is notable for its powerful set-theoretic abstractions and influence on later language design.
-
C.
TXL
TXL was the IATA airport code for Berlin Tegel Airport, the former main international airport of Berlin, Germany.
-
D.
Pascal
Pascal is a high-level, strongly typed procedural programming language designed by Niklaus Wirth in the late 1960s, widely used for teaching structured programming and data structuring concepts.
-
E.
PTC
PTC is an advanced safety system used on railroads to automatically prevent train collisions, overspeed derailments, and other dangerous movements.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: PL/Tcl Triple: [PostgreSQL, supportsLanguage, PL/Tcl]
Generated description
PL/Tcl is a procedural language extension for PostgreSQL that allows writing database functions and triggers using the Tcl scripting language.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: PL/Tcl Target entity description: PL/Tcl is a procedural language extension for PostgreSQL that allows writing database functions and triggers using the Tcl scripting language.
-
A.
PDL
PDL is a former name for USL League Two, a North American pre-professional soccer league that serves as a key development platform for college-aged and aspiring professional players.
-
B.
SETL
SETL is a high-level programming language developed in the late 1960s that is notable for its powerful set-theoretic abstractions and influence on later language design.
-
C.
TXL
TXL was the IATA airport code for Berlin Tegel Airport, the former main international airport of Berlin, Germany.
-
D.
Pascal
Pascal is a high-level, strongly typed procedural programming language designed by Niklaus Wirth in the late 1960s, widely used for teaching structured programming and data structuring concepts.
-
E.
PTC
PTC is an advanced safety system used on railroads to automatically prevent train collisions, overspeed derailments, and other dangerous movements.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a4937bcaac8190a322524ac6f45a5a |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4ab621d2c819083f10bff4f66c482 |
completed | March 1, 2026, 9:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a76d8d1a448190be8494fa2776615a |
completed | March 3, 2026, 11:23 p.m. |
| NEDg | Description generation | batch_69a78bd0a1d48190907434a17853dfb1 |
completed | March 4, 2026, 1:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a78c3a57d88190a994ed44bcb2d8d1 |
completed | March 4, 2026, 1:34 a.m. |
Created at: March 1, 2026, 7:38 p.m.