Triple
T31914730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richmond County Courthouse |
E814796
|
entity |
| Predicate | locatedInCityBorough |
P95123
|
FINISHED |
| Object | Borough of Staten Island |
E261271
|
NE 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: Borough of Staten Island | Statement: [Richmond County Courthouse, locatedInCityBorough, Borough of Staten Island]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInCityBorough Context triple: [Richmond County Courthouse, locatedInCityBorough, Borough of Staten Island]
-
A.
locatedInBoroughCommunityDistrict
Indicates that something is situated within a specific borough community district.
-
B.
positionInBorough
chosen
Indicates that one entity is located within or belongs to the geographic area of a specific borough.
-
C.
containsCityOrBorough
Indicates that a geographic or administrative area includes, within its boundaries, a specific city or borough.
-
D.
locatedIn
Indicates that one entity exists or is situated within the spatial, administrative, or conceptual boundaries of another entity.
-
E.
isLocatedInBoroughGovernment
Indicates that a government entity or office is situated within and administered as part of a specific borough-level governmental jurisdiction.
- F. None of above.
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_69f348f109d88190b5005372c53d2fcd |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a01d339feac8190a3de56b24db67163 |
completed | May 11, 2026, 1:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2ed4d526f08190b2a61c0b8a93cb99 |
completed | June 14, 2026, 4:20 p.m. |
| PD | Predicate disambiguation | batch_6a01d2bc1f408190a04869f95e6941ee |
completed | May 11, 2026, 12:59 p.m. |
Created at: May 1, 2026, 12:02 a.m.