Triple
T3828359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hamilton Mausoleum |
E88746
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Hamilton |
E18497
|
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 Mausoleum, city, Hamilton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hamilton Context triple: [Hamilton Mausoleum, city, Hamilton]
-
A.
Hamilton
Hamilton is a small city in western Georgia that serves as the administrative and cultural hub of Harris County.
-
B.
Hamilton
Hamilton is a major inland city in New Zealand’s Waikato region, known for its role as an agricultural, educational, and commercial hub on the North Island.
-
C.
Hamilton
Hamilton is a small coastal village on the Caribbean island of Bequia in Saint Vincent and the Grenadines.
-
D.
Hamilton
Hamilton is the small, bustling port city that serves as the commercial and cultural hub of Bermuda.
-
E.
Hamilton
chosen
Hamilton is a major industrial port city in Ontario, Canada, known for its steel production and location on the western tip of Lake Ontario.
- 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_69aed9538cf881909d9ce8ca4ac7c18c |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeeb683c2081908ffa6e759a3470fe |
completed | March 9, 2026, 3:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b503f9df8c8190b42c544e827d6c76 |
completed | March 14, 2026, 6:45 a.m. |
Created at: March 9, 2026, 3:17 p.m.