Triple
T13660474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | French universities |
E326980
|
entity |
| Predicate | researchStructure |
P21545
|
FINISHED |
| Object | laboratories |
—
|
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: laboratories | Statement: [French universities, researchStructure, laboratories]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: researchStructure Context triple: [French universities, researchStructure, laboratories]
-
A.
researchBaseOf
Indicates that one entity serves as the primary location, facility, or site from which another entity conducts or supports its research activities.
-
B.
researchSite
chosen
Indicates that a location serves as a site where research or investigative studies are conducted or based.
-
C.
researchCenter
Indicates that one entity functions as a research center associated with, operated by, or focused on the other entity.
-
D.
researchModel
Indicates that an entity systematically investigates, develops, or analyzes a model as part of a research process.
-
E.
researchValue
Indicates that something is considered useful, important, or relevant for research or scholarly investigation.
- 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_69d8076d8270819092afc2f0e9c359a8 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc620df208190afaccf3ddd10aa60 |
completed | April 12, 2026, 4:19 p.m. |
| PD | Predicate disambiguation | batch_69dbbe8a027081908d8f884b89707a5e |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 9:52 p.m.