Triple
T1903372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Société d’Anthropologie de Paris |
E37742
|
entity |
| Predicate | isPioneerIn |
P2809
|
FINISHED |
| Object | institutionalization of anthropology in France |
—
|
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: institutionalization of anthropology in France | Statement: [Société d’Anthropologie de Paris, isPioneerIn, institutionalization of anthropology in France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPioneerIn Context triple: [Société d’Anthropologie de Paris, isPioneerIn, institutionalization of anthropology in France]
-
A.
pioneerOf
chosen
Indicates that an entity was among the first to develop, introduce, or significantly advance another entity, concept, or practice.
-
B.
isPro
Indicates that an entity is a professional or expert in a particular field, activity, or domain.
-
C.
isNextInLineTo
Indicates that one entity is immediately scheduled or positioned to receive something or assume a role after another entity.
-
D.
isAt
Indicates that one entity is located at or present in the place or position of another entity.
-
E.
wasFirst
Indicates that one entity occurred, appeared, or held a position before another in time or sequence.
- 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_69a8861be7148190a680937ec451a304 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb34d94fc8190a5bf1e582c77c725 |
completed | March 7, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69abafe9f8b0819086d8f6288511c66d |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:35 p.m.