Triple
T21422379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GENCI |
E528467
|
entity |
| Predicate | partner |
P1136
|
FINISHED |
| Object | INRIA |
—
|
NE NERFINISHED |
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: INRIA | Statement: [GENCI, partner, INRIA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: INRIA Context triple: [GENCI, partner, INRIA]
-
A.
INRIA
chosen
INRIA is the French national research institute dedicated to computer science and applied mathematics, known for its leading contributions to digital science and technology.
-
B.
LORIA
LORIA is a French research laboratory specializing in computer science and information technologies, jointly operated by several institutions in the Lorraine region.
-
C.
Laboratoire de Recherche en Informatique
Laboratoire de Recherche en Informatique is a French computer science research laboratory known for its work in theoretical computer science, formal methods, and related areas.
-
D.
Laboratoire Ampère
Laboratoire Ampère is a French research laboratory associated with INSA Lyon that focuses on electrical engineering, automation, and related applied sciences.
-
E.
Lyon research center
The Lyon research center is a major French Petroleum Institute facility specializing in research and development in petroleum, energy, and related technologies.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c455f3688190810bc96365791b0f |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e8b2d17f5081908f0185011eae3160 |
completed | April 22, 2026, 11:36 a.m. |
Created at: April 16, 2026, 5:48 p.m.