Triple
T2973298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mamaroneck, New York |
E80331
|
entity |
| Predicate | hasHistoricSettlementType |
P32919
|
FINISHED |
| Object | former fishing and trading community |
—
|
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: former fishing and trading community | Statement: [Mamaroneck, New York, hasHistoricSettlementType, former fishing and trading community]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHistoricSettlementType Context triple: [Mamaroneck, New York, hasHistoricSettlementType, former fishing and trading community]
-
A.
hasSettlementContinuitySince
Indicates that a settlement has existed continuously at a location since a specified point in time.
-
B.
governsSettlementType
Indicates that an authority or administrative body exercises governing control over a particular type or category of settlement.
-
C.
hasTypeHistory
chosen
Indicates that an entity is associated with a record or sequence of its past and present types or classifications over time.
-
D.
settlementType
Indicates the specific kind or category of human settlement an entity represents, such as a city, village, town, or hamlet.
-
E.
isHistoric
Indicates that something has significant importance or relevance in history, often due to its age, impact, or role in past events.
- 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_69ad8b14ffe881908ffed62f9595c867 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9987bb6c8190adfb447b76276962 |
completed | March 8, 2026, 3:45 p.m. |
| PD | Predicate disambiguation | batch_69ad96105a708190a9ec4838cbcb1207 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:58 p.m.