Triple
T23990694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Township of Winchester |
E605058
|
entity |
| Predicate | hasAmalgamationResult |
P15102
|
FINISHED |
| Object | Township of North Dundas |
—
|
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: Township of North Dundas | Statement: [Township of Winchester, hasAmalgamationResult, Township of North Dundas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAmalgamationResult Context triple: [Township of Winchester, hasAmalgamationResult, Township of North Dundas]
-
A.
hasMerger
Indicates a relationship where two or more entities combine into a single entity through a merger event.
-
B.
mergerResult
chosen
Indicates that one or more entities have combined into a single entity, specifying the outcome or resulting entity of the merger.
-
C.
mergerResultedIn
Indicates that a merger between entities led to the creation, change, or outcome represented by the related entity or state.
-
D.
laterMergedWith
Indicates that one entity was combined into and became part of another entity at a subsequent point in time.
-
E.
hasUnionRepresentation
Indicates that an entity is represented by a labor union in negotiations or employment-related matters.
- 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_69e295463f7c8190b1c19dbd114641b9 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d38b37648190afb003cded3a7484 |
completed | April 29, 2026, 9:46 a.m. |
| PD | Predicate disambiguation | batch_69f1615994c48190a5de95d3f7e5cd0a |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9:37 p.m.