Triple
T6911909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gullane |
E159956
|
entity |
| Predicate | hasBeach |
P1922
|
FINISHED |
| Object | Gullane Bents |
E159956
|
NE 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: Gullane Bents | Statement: [Gullane, hasBeach, Gullane Bents]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gullane Bents Context triple: [Gullane, hasBeach, Gullane Bents]
-
A.
Gullane
chosen
Gullane is a coastal village in Scotland renowned for its sandy beaches and championship golf courses.
-
B.
Montgomerie
Montgomerie is a variant spelling of the surname Montgomery, historically associated with Scottish nobility and clans.
-
C.
Carnoustie
Carnoustie is a coastal town in Angus, Scotland, best known for its historic championship golf course that regularly hosts The Open.
-
D.
Hoylake
Hoylake is a coastal town on the Wirral Peninsula in Merseyside, England, known for its beaches and historic links golf courses.
-
E.
El Golf
El Golf is a Santiago Metro station on Line 1 located in the upscale financial and commercial district of Las Condes, Santiago, Chile.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c68839ccb88190b4aa5cc1aca3448f |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6d9c2e79881909eeb061be0a72bdf |
completed | March 27, 2026, 7:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7490c95548190a493d3fd23d1d7a5 |
completed | March 28, 2026, 3:20 a.m. |
Created at: March 27, 2026, 2:25 p.m.