Triple
T4282551
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waterbury |
E97186
|
entity |
| Predicate | mergedTownAndCityIn |
P33271
|
FINISHED |
| Object | 1902 |
—
|
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: 1902 | Statement: [Waterbury, mergedTownAndCityIn, 1902]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mergedTownAndCityIn Context triple: [Waterbury, mergedTownAndCityIn, 1902]
-
A.
formerMunicipalityOf
Indicates that an entity was previously an independent municipality that has since been merged into or replaced by the referenced municipality.
-
B.
provinceWithCommunity
Indicates that a given province contains, includes, or is associated with a particular community.
-
C.
hasConsolidatedCityCountySince
chosen
Indicates that a city and county have been formally consolidated into a single unified government entity starting from a specified point in time.
-
D.
cityDerivation
Indicates that one city is derived from, created out of, or established as a successor to another city.
-
E.
formsUrbanAreaWith
Indicates that two or more settlements are geographically and functionally connected so that together they constitute a single continuous urban area.
- 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_69b3454595848190a0e6bbb6a2bea040 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3503a84548190989a96d1a30d6ef7 |
completed | March 12, 2026, 11:46 p.m. |
| PD | Predicate disambiguation | batch_69b347fc4c0c8190a7fcd814e27308a5 |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:07 p.m.