Triple
T21030284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Constant |
E518044
|
entity |
| Predicate | usedByNationality |
P142549
|
FINISHED |
| Object | French |
—
|
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: French | Statement: [Constant, usedByNationality, French]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedByNationality Context triple: [Constant, usedByNationality, French]
-
A.
basedOnNationality
Indicates a relationship where something is determined, derived, or decided according to a person’s nationality.
-
B.
riddenByNationality
Indicates that something being ridden (such as an animal or vehicle) is ridden by a rider of a specified nationality.
-
C.
targetNationality
Indicates that one entity has the specified nationality as its intended or designated target.
-
D.
ledByNationality
Indicates that an entity (such as an organization, group, or project) is led or headed by a person or group of a specified nationality.
-
E.
createdByNationality
Indicates that something was created by an individual or group belonging to a specified nationality.
- F. None of above. chosen
Provenance (4 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_69e0b503275c8190afd9a163f997c709 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc81adf08190ba3312d0867a5388 |
completed | April 21, 2026, 4:26 a.m. |
| PD | Predicate disambiguation | batch_69e5dbf274ac81909bbf245627dc8fdc |
completed | April 20, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69e5e2df1a888190b5b478e76bdf7fdf |
completed | April 20, 2026, 8:25 a.m. |
Created at: April 16, 2026, 1:55 p.m.