Triple
T20626189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sandy Row, Belfast |
E506822
|
entity |
| Predicate | hasFootballAllegiance |
P17881
|
FINISHED |
| Object | support for Rangers F.C. |
—
|
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: support for Rangers F.C. | Statement: [Sandy Row, Belfast, hasFootballAllegiance, support for Rangers F.C.]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFootballAllegiance Context triple: [Sandy Row, Belfast, hasFootballAllegiance, support for Rangers F.C.]
-
A.
hasSportsTeam
Indicates that an entity possesses, sponsors, or is represented by a sports team.
-
B.
hasFootballAssociation
Indicates that there exists an affiliation or formal relationship between an entity and a football (soccer) association or governing body.
-
C.
sportsAllegiance
chosen
Indicates a supportive or loyal association an entity has with a particular sports team, organization, or side.
-
D.
leagueFounded
Indicates that a particular sports league was established or came into existence on a specific date or in a specific year.
-
E.
hasNationalSportTeam
Indicates that an entity possesses or is represented by an official national-level sports team.
- 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_69e0b4bd4a0081908d4e97a590a33fb2 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6abe576c081909231dc0d7304b9a9 |
completed | April 20, 2026, 10:42 p.m. |
| PD | Predicate disambiguation | batch_69e5a00c43308190b7ea58d559257e07 |
completed | April 20, 2026, 3:39 a.m. |
Created at: April 16, 2026, 11:42 a.m.