Triple
T24318597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Broomloan Stand |
E612891
|
entity |
| Predicate | hasHomeSupportArea |
P86067
|
FINISHED |
| Object | Rangers F.C. singing section (varies by match) |
—
|
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: Rangers F.C. singing section (varies by match) | Statement: [Broomloan Stand, hasHomeSupportArea, Rangers F.C. singing section (varies by match)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHomeSupportArea Context triple: [Broomloan Stand, hasHomeSupportArea, Rangers F.C. singing section (varies by match)]
-
A.
hasHomeSupport
chosen
Indicates that an entity receives assistance, backing, or favorable conditions from its home environment or local supporters.
-
B.
hasFamilyArea
Indicates a relationship where an entity possesses or includes a designated area intended for family use or family-related activities.
-
C.
hasHome
Indicates that an entity possesses or is associated with a place where it lives or is based.
-
D.
hasHomeFeature
Indicates that a home possesses or includes a particular feature or amenity.
-
E.
hasAreaOfCoverage
Indicates that an entity provides services, influence, or applicability within a specified geographic or conceptual region.
- 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_69e2d7da491c8190b6e6218af50923db |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f292a916c8819096d018e7ffaf483b |
completed | April 29, 2026, 11:22 p.m. |
| PD | Predicate disambiguation | batch_69f1c45f45888190a9ccc225906c34bd |
completed | April 29, 2026, 8:42 a.m. |
Created at: April 18, 2026, 1:47 a.m.