Triple
T29126146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portstewart F.C. |
E738233
|
entity |
| Predicate | geographicFeatureOfTown |
P174284
|
FINISHED |
| Object | seaside town |
—
|
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: seaside town | Statement: [Portstewart F.C., geographicFeatureOfTown, seaside town]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: geographicFeatureOfTown Context triple: [Portstewart F.C., geographicFeatureOfTown, seaside town]
-
A.
refersToGeographicFeature
Indicates that one entity makes reference to, denotes, or is associated with a specific geographic feature such as a landform, body of water, or other physical location.
-
B.
geographicRole
Indicates a relationship where one entity serves a specific geographic function, status, or role in relation to another location or area.
-
C.
politicalFeature
Indicates that an entity possesses a political characteristic, attribute, or aspect relevant to governance, power structures, or public policy.
-
D.
isToponymOf
Indicates that one entity is a place name (toponym) that refers to the location represented by the other entity.
-
E.
notableLocationFeature
Indicates that a location is characterized or distinguished by a particular notable physical or contextual feature.
- 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_69f07cb29cdc8190afa55444553de60c |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f6bcc425588190afd0dceba43ed79f |
completed | May 3, 2026, 3:11 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6b1e6c8190adf9d6a257e0b744 |
completed | May 3, 2026, 3 a.m. |
| PDg | Predicate description generation | batch_69f6bbf5a8288190ae170bcbe8ab65cf |
completed | May 3, 2026, 3:07 a.m. |
Created at: April 28, 2026, 11:28 a.m.