Triple
T1960553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nyack, New York, United States of America |
E42373
|
entity |
| Predicate | hasZIPCodeTabulationArea |
P920
|
FINISHED |
| Object | ZCTA 10960 |
—
|
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: ZCTA 10960 | Statement: [Nyack, New York, United States of America, hasZIPCodeTabulationArea, ZCTA 10960]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasZIPCodeTabulationArea Context triple: [Nyack, New York, United States of America, hasZIPCodeTabulationArea, ZCTA 10960]
-
A.
postalAreaIncludes
Indicates that a given postal area geographically contains or covers another specified location or region.
-
B.
hasAreaCode
Indicates that a specified telephone area code is assigned to or associated with a particular geographic region, location, or phone service entity.
-
C.
postalArea
chosen
Indicates that one entity is the postal or ZIP code area associated with the location or address represented by the other entity.
-
D.
FIPSCode
Indicates the standardized Federal Information Processing Standards (FIPS) code assigned to identify a specific geographic or administrative entity.
-
E.
hasCountyCode
Indicates that an entity is associated with a specific county identified by a standardized county code.
- 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_69a8870eea088190a38781990812a9bc |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb68a8e608190bc37a85913b3cd44 |
completed | March 7, 2026, 5:24 a.m. |
| PD | Predicate disambiguation | batch_69abaff5dbd48190a9d36ca60de151db |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:36 p.m.