Triple
T7625284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hamilton Airport |
E172612
|
entity |
| Predicate | owner |
P347
|
FINISHED |
| Object | City of Hamilton |
E120137
|
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: City of Hamilton | Statement: [Hamilton Airport, owner, City of Hamilton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: City of Hamilton Context triple: [Hamilton Airport, owner, City of Hamilton]
-
A.
City of Hamilton
The City of Hamilton is the capital of Bermuda, serving as its primary commercial and political center.
-
B.
City of Hamilton
chosen
The City of Hamilton is a major industrial and port city in Ontario, Canada, located on the western tip of Lake Ontario and forming a key urban center within the Greater Toronto and Hamilton Area.
-
C.
Downtown Hamilton
Downtown Hamilton is the central business and commercial district of Hamilton, Ontario, known for its dense urban core, transit hub functions, and mix of offices, shops, and cultural venues.
-
D.
St. Marys
St. Marys is a small city in north-central Pennsylvania known historically for its German Catholic heritage and manufacturing industries.
-
E.
St. Catharines
St. Catharines is a city in southern Ontario, Canada, known for its location near Niagara Falls and its role as a regional commercial and manufacturing center.
- 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_69c699517e348190bd3348b6889200f2 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6fa8039148190a492a0a25bcc7c55 |
completed | March 27, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c870a518f48190a4bba3657a7844f4 |
completed | March 29, 2026, 12:21 a.m. |
Created at: March 27, 2026, 3:56 p.m.