Triple
T763720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A92 road |
E16127
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object | Montrose |
E27714
|
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: Montrose | Statement: [A92 road, connects, Montrose]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Montrose Context triple: [A92 road, connects, Montrose]
-
A.
Montrose
chosen
Montrose is a coastal town in eastern Scotland known for its historic harbor, sandy beach, and surrounding nature reserves.
-
B.
Toa Alta
Toa Alta is a municipality in northern Puerto Rico known for its suburban communities and integration into the greater San Juan metropolitan region.
-
C.
Colma
Colma is a small town in San Mateo County, California, best known for its numerous cemeteries and nickname as the "City of Souls."
-
D.
Livingston
Livingston is a large post-war new town in West Lothian, Scotland, known as a major residential and commercial centre within the Edinburgh commuter belt.
-
E.
Livingston
Livingston is a prominent American family name historically associated with influential political figures, landowners, and statesmen, particularly in New York.
- 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_69a493684ee48190bd43b7c78da4aec8 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a69c8c448190a036a04fd8fdd2c2 |
completed | March 1, 2026, 8:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7c009d5048190b2a137b6ed8b60ec |
completed | March 4, 2026, 5:15 a.m. |
Created at: March 1, 2026, 7:37 p.m.