Triple
T657360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern Uplands |
E11676
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Merrick |
E85992
|
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: Merrick | Statement: [Southern Uplands, contains, Merrick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Merrick Context triple: [Southern Uplands, contains, Merrick]
-
A.
Merrick
chosen
Merrick is a prominent mountain in southwest Scotland, known as the highest peak in the Galloway Hills and a popular destination for hillwalkers.
-
B.
Milhous
Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
-
C.
Iceburgh
Iceburgh is the costumed penguin mascot of the NHL’s Pittsburgh Penguins, known for entertaining fans at games and team events.
-
D.
Nightcliff
Nightcliff is a coastal suburb of Darwin in Australia's Northern Territory, known for its scenic foreshore, jetty, and relaxed residential atmosphere.
-
E.
Colma
Colma is a small town in San Mateo County, California, best known for its numerous cemeteries and nickname as the "City of Souls."
- 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_69a4932862a0819098be659c814e4981 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49fa55e048190bd9913c6c31772d0 |
completed | March 1, 2026, 8:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a64a4d77e0819098cdd416136fd374 |
completed | March 3, 2026, 2:41 a.m. |
Created at: March 1, 2026, 7:36 p.m.