Triple
T31187249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maryhill F.C. |
E795080
|
entity |
| Predicate | geographicRegionOfFans |
P54054
|
FINISHED |
| Object | Maryhill area of Glasgow |
—
|
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: Maryhill area of Glasgow | Statement: [Maryhill F.C., geographicRegionOfFans, Maryhill area of Glasgow]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: geographicRegionOfFans Context triple: [Maryhill F.C., geographicRegionOfFans, Maryhill area of Glasgow]
-
A.
hasFanBasePrimarilyIn
chosen
Indicates that an entity’s main or largest group of supporters, followers, or fans is located in a specified place or region.
-
B.
primaryRegionOfPopularity
Indicates the geographic region where something is most widely used, favored, or popular compared to other regions.
-
C.
viewershipRegion
Indicates the geographic region or area in which content is viewed or for which its audience is measured.
-
D.
geographicalRegionType
Indicates the specific kind or category of geographical region that an entity belongs to (e.g., continent, country, province, or city).
-
E.
participantsRegion
Indicates that the related entities are associated with, originate from, or operate within a specified geographic 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_69f224d675d08190957198068e440422 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f74c70fd248190a9d5543afcb08211 |
completed | May 3, 2026, 1:24 p.m. |
| PD | Predicate disambiguation | batch_69f7478e3b548190a51d5d436e2bb036 |
completed | May 3, 2026, 1:03 p.m. |
Created at: April 29, 2026, 9:08 p.m.