Triple
T26805654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Derby Corse |
E671827
|
entity |
| Predicate | featuresClubFromRegion |
P53113
|
FINISHED |
| Object | Haute-Corse |
—
|
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: Haute-Corse | Statement: [Derby Corse, featuresClubFromRegion, Haute-Corse]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresClubFromRegion Context triple: [Derby Corse, featuresClubFromRegion, Haute-Corse]
-
A.
clubRegion
chosen
Indicates that a club is located in, associated with, or belongs to a particular geographic region.
-
B.
featuresClubs
Indicates that something includes or presents one or more clubs as part of its composition, content, or offering.
-
C.
supportsClubRegion
Indicates that an entity provides backing, resources, or endorsement to a club associated with a particular geographic region.
-
D.
participatingClubsFromCity
Indicates that the clubs involved in an event or activity originate from or are based in a specified city.
-
E.
featuresClubSuccess
Indicates that something highlights or showcases the success or achievements of a club.
- 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_69eeb3225a3c8190aaf6746efeded2f3 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69fce28d6c3081908bf76f5db63ecf68 |
completed | May 7, 2026, 7:05 p.m. |
| PD | Predicate disambiguation | batch_69fce12d2f08819082134b5eb3db6a24 |
completed | May 7, 2026, 6:59 p.m. |
Created at: April 27, 2026, 4:26 a.m.