Triple
T12432451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pharo Smalltalk |
E297064
|
entity |
| Predicate | developer |
P73
|
FINISHED |
| Object | Inria RMoD team |
E265286
|
NE 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: Inria RMoD team | Statement: [Pharo Smalltalk, developer, Inria RMoD team]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Inria RMoD team Context triple: [Pharo Smalltalk, developer, Inria RMoD team]
-
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.
INSA Rennes
INSA Rennes is a leading French public engineering school located in Rennes, specializing in science and technology education and research.
-
C.
VERIMAG Laboratory
VERIMAG Laboratory is a French research center specializing in formal methods and the verification of complex hardware and software systems.
-
D.
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.
-
E.
Centre de robotique
The Centre de robotique is a research and teaching unit specializing in robotics and related technologies within the École des Mines de Paris engineering school.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6ada0640c81908c061d7fb3d47786 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d7f2fd08190ab959742dbd8f9c0 |
completed | April 10, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6349d29c481909a37fd386cc06575 |
completed | May 2, 2026, 5:30 p.m. |
Created at: April 8, 2026, 9:55 p.m.