Triple
T373136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Ontario |
E8312
|
entity |
| Predicate | hasCityOnShore |
P969
|
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: [Lake Ontario, hasCityOnShore, Hamilton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hamilton Context triple: [Lake Ontario, hasCityOnShore, Hamilton]
-
A.
Hamilton
Hamilton is the small, bustling port city that serves as the commercial and cultural hub of Bermuda.
-
B.
Hamilton
Hamilton is a large town in South Lanarkshire, Scotland, historically known as a key administrative and market center in the region.
-
C.
Hamilton
Hamilton is a masculine given name of English and Scottish origin, used both as a first name and a surname.
-
D.
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.
-
E.
Jackson
Jackson is a common English surname borne by numerous notable figures across politics, science, sports, and the arts.
- 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_69a2e7f2ec648190b42bc7db424f8109 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec018d508190b5687a9ba90b3092 |
completed | Feb. 28, 2026, 1:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3fafb2df881909d5528acfb536ea8 |
completed | March 1, 2026, 8:38 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.