Triple
T36799331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | theatre of Dreux |
E909276
|
entity |
| Predicate | typicalProgrammingFocus |
P205056
|
FINISHED |
| Object | local productions |
—
|
LITERAL FINISHED |
How this triple was built (2 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: local productions | Statement: [theatre of Dreux, typicalProgrammingFocus, local productions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalProgrammingFocus Context triple: [theatre of Dreux, typicalProgrammingFocus, local productions]
-
A.
formerProgrammingFocus
Indicates that an entity previously concentrated on a particular programming-related area or activity, but no longer does so.
-
B.
typicalProgrammingContext
Indicates that an entity is commonly or normally used, found, or applicable within a given programming context or environment.
-
C.
hasProgrammingFocus
Indicates that something is centered on, specialized in, or primarily concerned with programming.
-
D.
programmingFocus
Indicates a relationship where an entity’s primary attention, effort, or specialization is directed toward a particular area or aspect of programming.
-
E.
originalProgrammingFocus
Indicates that something’s primary or initial emphasis or specialization is in programming or software development.
- F. None of above. chosen
Provenance (4 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_69f76e7b98888190899b6478a82ad6ae |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a0e039481908a4a2666f76c5363 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c82f8c88190bd77a086023ac0e1 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:12 p.m.