Triple
T31785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princeton, New Jersey, United States |
E634
|
entity |
| Predicate | incorporatedAsBorough |
P2381
|
FINISHED |
| Object | 1813 |
—
|
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: 1813 | Statement: [Princeton, New Jersey, United States, incorporatedAsBorough, 1813]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: incorporatedAsBorough Context triple: [Princeton, New Jersey, United States, incorporatedAsBorough, 1813]
-
A.
hasBorough
Indicates that one entity is located within, belongs to, or is administratively part of a specific borough.
-
B.
incorporatedAsCity
Indicates that an entity was formally established and legally recognized as a city.
-
C.
partOfMetropolitanArea
Indicates that one place is included within and belongs to the larger metropolitan area of another place.
-
D.
designatedNYCLandmark
Indicates that an entity has been officially designated as a New York City landmark by the appropriate municipal authority.
-
E.
policePrecinct
Indicates that a specified location, building, or area functions as or is designated as a police precinct.
- 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_69a2479dec388190967ba648663442c9 |
completed | Feb. 28, 2026, 1:40 a.m. |
| NER | Named-entity recognition | batch_69a249ec0d288190ac3a0939db61813b |
completed | Feb. 28, 2026, 1:50 a.m. |
| PD | Predicate disambiguation | batch_69a24870417081909c7c01e400c94716 |
completed | Feb. 28, 2026, 1:44 a.m. |
| PDg | Predicate description generation | batch_69a249eb52a08190916849b44bd9d68d |
completed | Feb. 28, 2026, 1:50 a.m. |
Created at: Feb. 28, 2026, 1:44 a.m.