Triple
T23843158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Town of Rochester, New York |
E591040
|
entity |
| Predicate | hasHistoricHamlets |
P154152
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Town of Rochester, New York, hasHistoricHamlets, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHistoricHamlets Context triple: [Town of Rochester, New York, hasHistoricHamlets, true]
-
A.
hasHistoricCountyTownRelation
Indicates a relationship where a town serves or has served as the historic county town (traditional administrative center) of a given county.
-
B.
isHistoricParishOf
Indicates that one entity is a historic parish that formerly served, or is recognized as having served, as the parish jurisdiction for another entity.
-
C.
hasHistoricCountySeat
Indicates that an administrative region historically had its county government or main county offices located in a particular settlement or city.
-
D.
hasHistoricVillageArea
Indicates that an entity includes or is associated with an area recognized as a historic village or traditional settlement zone.
-
E.
historicalTownshipOf
Indicates that one entity was formerly a township encompassing or governing the other entity during a past historical period.
- F. None of above. chosen
Provenance (4 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_69e25d1de32c8190a907afe9c3d6cd6d |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c8898a0c8190b4d55852fc30260f |
completed | April 29, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69f1614612b481908c45d99e588882f9 |
completed | April 29, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f16e348b548190b76e50f9b611f76d |
completed | April 29, 2026, 2:34 a.m. |
Created at: April 17, 2026, 8:09 p.m.