Triple
T1931032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clan Carnegie |
E40946
|
entity |
| Predicate | warCry |
P10430
|
FINISHED |
| Object | Southesk |
E40946
|
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: Southesk | Statement: [Clan Carnegie, warCry, Southesk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Southesk Context triple: [Clan Carnegie, warCry, Southesk]
-
A.
Southesk
chosen
Southesk is the traditional war cry associated with Clan Carnegie, a Scottish noble family from Angus.
-
B.
Kinsealy
Kinsealy is a suburban locality in north County Dublin, Ireland, known for its residential character and proximity to Swords and Dublin city.
-
C.
Wauchope
Wauchope is a rural town in New South Wales, Australia, known as a gateway to the hinterland near Port Macquarie and the surrounding Mid North Coast region.
-
D.
Corrsin
Corrsin is a surname most notably associated with Stanley Corrsin, an influential American fluid dynamicist known for his work on turbulence.
-
E.
Muscoy
Muscoy is an unincorporated community in San Bernardino County, California, known for its semi-rural character within the Inland Empire region.
- 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_69a8864711648190b07bed24ed76258e |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb296910481908c9668518c09fdb0 |
completed | March 7, 2026, 5:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adfbb2cc988190a4046c17c8389996 |
completed | March 8, 2026, 10:44 p.m. |
Created at: March 4, 2026, 7:35 p.m.