Triple
T34904426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Poppit Sands |
E1006679
|
entity |
| Predicate | hasLifeboatStationNearby |
P45692
|
FINISHED |
| Object | Cardigan Lifeboat Station |
—
|
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: Cardigan Lifeboat Station | Statement: [Poppit Sands, hasLifeboatStationNearby, Cardigan Lifeboat Station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLifeboatStationNearby Context triple: [Poppit Sands, hasLifeboatStationNearby, Cardigan Lifeboat Station]
-
A.
hasLifeboatStation
Indicates that a place or facility is equipped with a lifeboat station for maritime rescue or emergency response.
-
B.
hasLifeboatService
chosen
Indicates that a lifeboat service is available or provided in relation to the subject entity.
-
C.
hasLifeboats
Indicates that an entity is equipped with or possesses one or more lifeboats for emergency use.
-
D.
hasLifeboatType
Indicates that an entity is associated with or equipped with a specific type of lifeboat.
-
E.
hasNearbyHarbor
Indicates that one location has a harbor situated close to it in geographic proximity.
- 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_69f76dc1b4a081909b4c6e4d8ec0aa2d |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fe991bca608190b524e419642f4243 |
completed | May 9, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69fe979fc1c4819091fc48d63ea12063 |
completed | May 9, 2026, 2:10 a.m. |
Created at: May 3, 2026, 4 p.m.