Triple
T13209152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loch Skeen |
E314440
|
entity |
| Predicate | hasNearbyHill |
P7612
|
FINISHED |
| Object | White Coomb |
E382325
|
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: White Coomb | Statement: [Loch Skeen, hasNearbyHill, White Coomb]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: White Coomb Context triple: [Loch Skeen, hasNearbyHill, White Coomb]
-
A.
White Coomb
chosen
White Coomb is a prominent hill and popular hiking summit in the Moffat Hills of the Southern Uplands in Scotland.
-
B.
Crabtree
Crabtree is a surname of English origin borne by various notable individuals, including athletes, politicians, and artists.
-
C.
Branca
Branca is a surname most notably associated with former Major League Baseball pitcher Ralph Branca.
-
D.
Mavournee Hazel
Mavournee Hazel is an Australian actress known for her television work, including a main role in the crime drama series NCIS: Sydney.
-
E.
Finklea
Finklea is the birth surname of American actress and dancer Cyd Charisse, known for her roles in classic Hollywood musicals.
- 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_69d806aee7308190b70a237ba2a6e3e1 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c9e072c8190b66e2c2430628ed0 |
completed | April 10, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f611b11c8190b9f89313eb2b5fab |
completed | May 3, 2026, 7:15 a.m. |
Created at: April 9, 2026, 9:17 p.m.