Triple
T4134633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Blues |
E85122
|
entity |
| Predicate | hasFanBasePrimarilyIn |
P54054
|
FINISHED |
| Object | Belfast and surrounding areas |
—
|
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: Belfast and surrounding areas | Statement: [The Blues, hasFanBasePrimarilyIn, Belfast and surrounding areas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFanBasePrimarilyIn Context triple: [The Blues, hasFanBasePrimarilyIn, Belfast and surrounding areas]
-
A.
servesAsFocusCityFor
Indicates that a city functions as a primary or designated focus city for an airline, organization, or transportation network, typically hosting significant but not hub-level operations or activities.
-
B.
stateOfHomeGround
Indicates the location or region that serves as an entity’s primary home ground or base of operations.
-
C.
hasHometownOf
Indicates that one entity has, as its hometown, the place represented by the other entity.
-
D.
sportsVenueLocatedIn
Indicates that a sports venue is geographically situated within a specified location or administrative area.
-
E.
hasHomeCity
Indicates that an entity’s primary or official city of residence or affiliation is a specified city.
- F. None of above. chosen
Provenance (4 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_69aed935ccd881909dc61f81bcdb7a78 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af03a0f3408190adba7a8513bd3d12 |
completed | March 9, 2026, 5:30 p.m. |
| PD | Predicate disambiguation | batch_69af01883b6c8190a482ead589a131a5 |
completed | March 9, 2026, 5:21 p.m. |
| PDg | Predicate description generation | batch_69af039fb19c8190b20e62a3b3ad25c1 |
completed | March 9, 2026, 5:30 p.m. |
Created at: March 9, 2026, 3:43 p.m.