Triple
T36581939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richmond County |
E902418
|
entity |
| Predicate | officialBoroughName |
P201883
|
FINISHED |
| Object | Staten Island |
—
|
NE NERFINISHED |
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: Staten Island | Statement: [Richmond County, officialBoroughName, Staten Island]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officialBoroughName Context triple: [Richmond County, officialBoroughName, Staten Island]
-
A.
primaryBorough
Indicates that one borough is the main or most significant borough associated with a given entity.
-
B.
wasBoroughOf
Indicates that one place previously held the administrative or territorial status of a borough within another jurisdiction.
-
C.
isBoroughSeatOf
Indicates that a place serves as the administrative center or seat of government for a specific borough.
-
D.
largestBoroughBy
Indicates that one borough is the largest among a set of boroughs according to a specified criterion (such as area or population).
-
E.
haveMostDenselyPopulatedBorough
Indicates that one entity possesses the borough with the highest population density compared to other boroughs in a given context.
- 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_69f76e64d8908190868473959a250b94 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a002e71bdc48190b922f2d3b362d259 |
completed | May 10, 2026, 7:06 a.m. |
| PD | Predicate disambiguation | batch_6a002e1a28708190b65f9e657c770bab |
completed | May 10, 2026, 7:04 a.m. |
| PDg | Predicate description generation | batch_6a002e706dfc8190bbf2bc230f537e83 |
completed | May 10, 2026, 7:06 a.m. |
Created at: May 3, 2026, 4:11 p.m.