Triple
T35084601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | communauté d’agglomération du Saint-Quentinois |
E1012540
|
entity |
| Predicate | développe |
P73
|
FINISHED |
| Object | projets de développement local |
—
|
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: projets de développement local | Statement: [communauté d’agglomération du Saint-Quentinois, développe, projets de développement local]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: développe Context triple: [communauté d’agglomération du Saint-Quentinois, développe, projets de développement local]
-
A.
developed
chosen
Indicates that one entity created, designed, or brought another entity into a more advanced or complete state through effort or work.
-
B.
developmentFor
Indicates that one entity is created, adapted, or advanced specifically for the benefit, use, or purpose of another entity.
-
C.
development
Indicates a process or relationship in which something grows, advances, or becomes more complex or mature over time.
-
D.
isDevelopmentOf
Indicates that one entity is the development, evolution, or more advanced form derived from another entity.
-
E.
developsDuring
Indicates that one process, condition, or characteristic comes into existence or forms over the course of a specified time period, phase, or event.
- F. None of above.
Provenance (3 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_69f76dd32c008190853aef6028f60208 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78ce78b508190955848e133398dc8 |
completed | May 3, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69f78b8f4cc08190b49fccd798cb25d7 |
completed | May 3, 2026, 5:53 p.m. |
Created at: May 3, 2026, 4:01 p.m.