Triple
T72889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Piscataway, New Jersey |
E1459
|
entity |
| Predicate | incorporatedAsTownship |
P4622
|
FINISHED |
| Object | 1798 |
—
|
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: 1798 | Statement: [Piscataway, New Jersey, incorporatedAsTownship, 1798]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: incorporatedAsTownship Context triple: [Piscataway, New Jersey, incorporatedAsTownship, 1798]
-
A.
incorporatedAsCity
Indicates that an entity was formally established and legally recognized as a city.
-
B.
incorporatedAsBorough
Indicates that an entity was formally established and granted legal status as a borough.
-
C.
hasTown
Indicates that one entity possesses, contains, or is associated with a town as part of its structure, jurisdiction, or composition.
-
D.
hasMunicipalGovernment
Indicates that an entity is administered or governed by a municipal-level governmental authority.
-
E.
municipality
Indicates that one entity is a municipality (a local administrative unit) in which the other entity is located or which it governs.
- 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_69a24c06b3bc8190aa4ac89026115efc |
completed | Feb. 28, 2026, 1:59 a.m. |
| NER | Named-entity recognition | batch_69a252201fa481908e30791954119c17 |
completed | Feb. 28, 2026, 2:25 a.m. |
| PD | Predicate disambiguation | batch_69a24eacfdc481909e9ff99752fd42bf |
completed | Feb. 28, 2026, 2:10 a.m. |
| PDg | Predicate description generation | batch_69a2521ed5088190bbdfd22164bb4d94 |
completed | Feb. 28, 2026, 2:25 a.m. |
Created at: Feb. 28, 2026, 2:03 a.m.