Triple
T25047245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Connacht Rugby |
E627275
|
entity |
| Predicate | representsCounties |
P140438
|
FINISHED |
| Object | Galway |
—
|
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: Galway | Statement: [Connacht Rugby, representsCounties, Galway]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representsCounties Context triple: [Connacht Rugby, representsCounties, Galway]
-
A.
representsCountyIn
chosen
Indicates that an entity serves as an official representative or acts on behalf of a specific county.
-
B.
hasNumberOfCounties
Indicates the relationship that specifies how many counties are associated with or contained within a given entity.
-
C.
eachCountyHas
Indicates that for every county in a given set or context, there exists at least one associated item, attribute, or entity satisfying a specified condition.
-
D.
countyRepresented
Indicates that a person or representative serves as the official representative for a particular county in a governing or organizational context.
-
E.
numberPerCounty
Indicates the quantity or count of something associated with each individual county.
- 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_69e2ff2b4c80819087c916b2b16241b9 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f65f7731e4819099d5bd3d915ee266 |
completed | May 2, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f65c1f94ac8190bc6fbc7916fc0d82 |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 18, 2026, 6:08 a.m.