Triple
T28477135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | French Party |
E720592
|
entity |
| Predicate | supportedInterestsOf |
P136970
|
FINISHED |
| Object | France |
—
|
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: France | Statement: [French Party, supportedInterestsOf, France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportedInterestsOf Context triple: [French Party, supportedInterestsOf, France]
-
A.
interestMayBe
Indicates that one entity potentially has an interest in, or may be interested in, another entity or subject.
-
B.
subjectInterest
Indicates that the subject has an interest in, or is concerned with, the object.
-
C.
recognizedInterest
Indicates that one entity has formally acknowledged or identified another entity’s interest in something as valid or relevant.
-
D.
hasOverlappingInterestsFrom
chosen
Indicates that one entity shares some, but not necessarily all, interests in common with another entity, such that their sets of interests partially overlap.
-
E.
hasInterestType
Indicates that an entity is associated with a specific category or type of interest it holds or is concerned with.
- 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_69f01a5983f48190b7c1b8857245a4f7 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_6a00ac5654a0819090701f61a5802d64 |
completed | May 10, 2026, 4:03 p.m. |
| PD | Predicate disambiguation | batch_6a00ab94b5e881909e15d1342e5f43be |
completed | May 10, 2026, 4 p.m. |
Created at: April 28, 2026, 2:53 a.m.