Triple
T6370862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LambdaProlog |
E143339
|
entity |
| Predicate | hasImplementation |
P3697
|
FINISHED |
| Object |
ELPI
ELPI is an implementation of the λProlog logic programming language, designed for higher-order abstract syntax and interactive theorem proving applications.
|
E588092
|
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: ELPI | Statement: [LambdaProlog, hasImplementation, ELPI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ELPI Context triple: [LambdaProlog, hasImplementation, ELPI]
-
A.
ELPA
ELPA (Emacs Lisp Package Archive) is a primary repository and distribution system for Emacs Lisp packages used to extend and customize the Emacs editor.
-
B.
ELP
ELP is the three-letter IATA airport code for El Paso International Airport, a commercial airport serving El Paso, Texas.
-
C.
Elphi
Elphi is the popular nickname for Hamburg’s Elbphilharmonie, a striking modern concert hall and architectural landmark on the Elbe River.
-
D.
ELC
ELC is the regional vehicle registration code assigned to the area that includes the village of Walewice in Poland.
-
E.
LAMDA
LAMDA is a prestigious London-based drama school renowned for training actors, directors, and other performing arts professionals.
- 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: ELPI Triple: [LambdaProlog, hasImplementation, ELPI]
Generated description
ELPI is an implementation of the λProlog logic programming language, designed for higher-order abstract syntax and interactive theorem proving applications.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ELPI Target entity description: ELPI is an implementation of the λProlog logic programming language, designed for higher-order abstract syntax and interactive theorem proving applications.
-
A.
ELPA
ELPA (Emacs Lisp Package Archive) is a primary repository and distribution system for Emacs Lisp packages used to extend and customize the Emacs editor.
-
B.
ELP
ELP is the three-letter IATA airport code for El Paso International Airport, a commercial airport serving El Paso, Texas.
-
C.
Elphi
Elphi is the popular nickname for Hamburg’s Elbphilharmonie, a striking modern concert hall and architectural landmark on the Elbe River.
-
D.
ELC
ELC is the regional vehicle registration code assigned to the area that includes the village of Walewice in Poland.
-
E.
LAMDA
LAMDA is a prestigious London-based drama school renowned for training actors, directors, and other performing arts professionals.
- 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_69c008d8c61081908bcaf61510d881ed |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c068277f6c81908e6a55e006f0c229 |
completed | March 22, 2026, 10:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c62d8bce3481909b0bf7533b330d1f |
completed | March 27, 2026, 7:11 a.m. |
| NEDg | Description generation | batch_69c62e2072808190a4f2dd262b631c88 |
completed | March 27, 2026, 7:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c62f1bbdac8190b0cff9fbcddd68a7 |
completed | March 27, 2026, 7:17 a.m. |
Created at: March 22, 2026, 4:33 p.m.