Triple
T36457987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Middle Atlantic division |
E898211
|
entity |
| Predicate | containsStateLargestCity |
P163
|
FINISHED |
| Object | New York City |
—
|
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: New York City | Statement: [Middle Atlantic division, containsStateLargestCity, New York City]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsStateLargestCity Context triple: [Middle Atlantic division, containsStateLargestCity, New York City]
-
A.
isLargestCityIn
chosen
Indicates that one city has the greatest population or size compared to all other cities within a specified region or administrative area.
-
B.
connectsLargestCityInState
Indicates a relationship where something links or associates with the largest city within a given state.
-
C.
capitalIsLargestCity
Indicates that the capital city of a region or country is also its most populous or largest city.
-
D.
capitalOfMajorState
Indicates that one location serves as the primary capital city of a major state or significant administrative region.
-
E.
capitalCityOfAssociatedState
Indicates that a city serves as the capital of the state with which another entity is associated.
- 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_69f76e57f08481908593bd0bc34581c8 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a01378bf05c8190af9f5e06a2810c7d |
completed | May 11, 2026, 1:57 a.m. |
| PD | Predicate disambiguation | batch_6a0137277c6c8190bcec341f2a0757c4 |
completed | May 11, 2026, 1:55 a.m. |
Created at: May 3, 2026, 4:10 p.m.