Triple
T8886180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 63rd Drive–Rego Park |
E211535
|
entity |
| Predicate | hasTileStyle |
P1609
|
FINISHED |
| Object | IND Queens Boulevard Line tile band style |
—
|
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: IND Queens Boulevard Line tile band style | Statement: [63rd Drive–Rego Park, hasTileStyle, IND Queens Boulevard Line tile band style]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTileStyle Context triple: [63rd Drive–Rego Park, hasTileStyle, IND Queens Boulevard Line tile band style]
-
A.
hasStyle
chosen
Indicates that an entity possesses, exhibits, or is characterized by a particular style or manner.
-
B.
hasWallTileColor
Indicates that an entity’s wall tiles possess a specific color.
-
C.
hasSubregionStyle
Indicates a stylistic relationship in which one region exhibits a specific style that is characteristic of a subregion within it.
-
D.
hasSystemStyle
Indicates that one entity is associated with, or characterized by, a particular system-defined style of another entity.
-
E.
hasSubstyle
Indicates that one style is a more specific or subordinate variant of another style within a hierarchical style structure.
- 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_69ca838f9e20819096ab1f236a70381a |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc618bd30881909e54d0708f144786 |
completed | April 1, 2026, 12:06 a.m. |
| PD | Predicate disambiguation | batch_69cc5c2aec04819093c932fe51c0f08d |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:53 p.m.