Triple
T37000738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hamilton, Upper Canada |
E915339
|
entity |
| Predicate | statusInProvince |
P33417
|
FINISHED |
| Object | important regional market town |
—
|
LITERAL 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: important regional market town | Statement: [Hamilton, Upper Canada, statusInProvince, important regional market town]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusInProvince Context triple: [Hamilton, Upper Canada, statusInProvince, important regional market town]
-
A.
hasProvinceStatus
Indicates that an entity holds the administrative or political status of a province within a larger territorial or governmental system.
-
B.
statusInRegion
chosen
Indicates the specific status or condition an entity holds within a particular geographic or administrative region.
-
C.
regionStatus
Indicates the current condition, classification, or operational state assigned to a specific geographic or administrative region.
-
D.
statusProgramRegion
Indicates the current state or condition of a program within a specific geographic or administrative region.
-
E.
stationedInProvince
Indicates that an entity is assigned or based in a particular province as its location or area of operation.
- F. None of above.
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_69f76e8f1a8c81909db172ed31304971 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69ffc083a54c8190ac80d05ee8d20a6b |
completed | May 9, 2026, 11:17 p.m. |
| PD | Predicate disambiguation | batch_69ffbfeb05b88190b4d50ce8124004d9 |
completed | May 9, 2026, 11:14 p.m. |
Created at: May 3, 2026, 4:14 p.m.