Triple
T24718949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alabama Sports Hall of Fame |
E612240
|
entity |
| Predicate | focusesOnSportRegion |
P1015
|
FINISHED |
| Object | State of Alabama |
—
|
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: State of Alabama | Statement: [Alabama Sports Hall of Fame, focusesOnSportRegion, State of Alabama]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: focusesOnSportRegion Context triple: [Alabama Sports Hall of Fame, focusesOnSportRegion, State of Alabama]
-
A.
sportsRegionOf
chosen
Indicates that a region is the geographic or administrative area associated with a particular sports entity or activity.
-
B.
clubRegion
Indicates that a club is located in, associated with, or belongs to a particular geographic region.
-
C.
sportFocus
Indicates that one entity has a primary emphasis, specialization, or concentration on a particular sport represented by the other entity.
-
D.
participantsRegion
Indicates that the related entities are associated with, originate from, or operate within a specified geographic region.
-
E.
sportsDistrict
Indicates that a district is associated with or designated for sports-related activities, facilities, or organizations.
- 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_69e2d7d6e7a48190bb43b0d8bb1137a0 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f44a417a58819081777e18dda149fd |
completed | May 1, 2026, 6:37 a.m. |
| PD | Predicate disambiguation | batch_69f442a977b08190b44eac040cb90211 |
completed | May 1, 2026, 6:05 a.m. |
Created at: April 18, 2026, 3:39 a.m.