Triple
T10314009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hamilton metropolitan area |
E241967
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Hamilton |
E8361
|
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: Hamilton | Statement: [Hamilton metropolitan area, hasPart, Hamilton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hamilton Context triple: [Hamilton metropolitan area, hasPart, Hamilton]
-
A.
Hamilton
chosen
Hamilton is the small, bustling port city that serves as the commercial and cultural hub of Bermuda.
-
B.
Hamilton
Hamilton is a major industrial port city in Ontario, Canada, known for its steel production and location on the western tip of Lake Ontario.
-
C.
Hamilton
Hamilton is a small coastal village on the Caribbean island of Bequia in Saint Vincent and the Grenadines.
-
D.
Hamilton
Hamilton is a small city in western Montana known as a regional hub of the Bitterroot Valley, offering access to outdoor recreation and serving as a center for local commerce and services.
-
E.
Hamilton
Hamilton is a character from the 1935 British film "Sanders of the River," which portrays colonial-era adventures in Nigeria.
- 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_69d381ac38808190a8ca7457c85b625b |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d35a292c8190bc8c467e522bba92 |
completed | April 7, 2026, 9:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7502f7b308190aaefd62f2f8a0ac3 |
completed | April 9, 2026, 7:07 a.m. |
Created at: April 6, 2026, 11:48 a.m.