Triple
T30741563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monaghan GAA |
E782702
|
entity |
| Predicate | representsCountyTeam |
P62088
|
FINISHED |
| Object | Monaghan county football team |
—
|
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: Monaghan county football team | Statement: [Monaghan GAA, representsCountyTeam, Monaghan county football team]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representsCountyTeam Context triple: [Monaghan GAA, representsCountyTeam, Monaghan county football team]
-
A.
hasCountyTeamAffiliation
chosen
Indicates that an entity is affiliated with, represents, or is associated with a specific county-level team.
-
B.
representsCountyIn
Indicates that an entity serves as an official representative or acts on behalf of a specific county.
-
C.
representsTeamFrom
Indicates that an entity serves as the representative team originating from or associated with a particular place, organization, or group.
-
D.
representsTeamsNamed
Indicates that two or more entities are associated with teams that share the same name.
-
E.
teamsRepresent
Indicates that one or more teams act on behalf of, or serve as the official representatives of, a particular entity, organization, or group.
- 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_69f224aeb1588190897d395e8ed2acb8 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fdd07a34c08190982b8c61c2775cf6 |
completed | May 8, 2026, noon |
| PD | Predicate disambiguation | batch_69fdbd25c7908190b72fca8de7ce503f |
completed | May 8, 2026, 10:38 a.m. |
Created at: April 29, 2026, 8:38 p.m.