Triple
T29063495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Holt |
E735604
|
entity |
| Predicate | locatedInCountyOrRegion |
P35926
|
FINISHED |
| Object | York Region |
—
|
NE NERFINISHED |
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: York Region | Statement: [Holt, locatedInCountyOrRegion, York Region]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInCountyOrRegion Context triple: [Holt, locatedInCountyOrRegion, York Region]
-
A.
locatedInCountyRegion
chosen
Indicates that one entity is geographically situated within the boundaries of a specific county or county-level region.
-
B.
locatedInStateOrRegion
Indicates that one entity is geographically situated within the boundaries of a specified state or region.
-
C.
locatedInCountySeatOfCounty
Indicates that one entity is located in the county seat city or town of the specified county.
-
D.
locatedIn
Indicates that one entity exists or is situated within the spatial, administrative, or conceptual boundaries of another entity.
-
E.
likelyLocatedIn
Indicates that an entity is probably situated within or associated with a particular location, though not with absolute certainty.
- 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_69f077e85498819088b65186550da8cd |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69fff4530f908190afe9387f732c2b7e |
completed | May 10, 2026, 2:58 a.m. |
| PD | Predicate disambiguation | batch_69fff3c01a64819091196875b0c88607 |
completed | May 10, 2026, 2:56 a.m. |
Created at: April 28, 2026, 10:16 a.m.