Triple
T33335623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lefferts Blvd / Manhattan |
E853526
|
entity |
| Predicate | refersToDirection |
P117356
|
FINISHED |
| Object | northbound |
—
|
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: northbound | Statement: [Lefferts Blvd / Manhattan, refersToDirection, northbound]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: refersToDirection Context triple: [Lefferts Blvd / Manhattan, refersToDirection, northbound]
-
A.
containsDirectionOf
Indicates that one entity includes or encompasses the directional orientation or path associated with another entity.
-
B.
isDirection
chosen
Indicates that one entity specifies or represents the orientation or course along which another entity moves, points, or is aligned.
-
C.
hasDirectionReference
Indicates that one entity specifies or points to a directional orientation or reference frame for another entity.
-
D.
directionRelativeTo
Indicates the spatial orientation of one entity in relation to another, such as which way it faces or points relative to a reference entity.
-
E.
definesDirection
Indicates that one entity specifies or establishes the orientation, course, or path along which another entity is directed or proceeds.
- 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_69f34969614c81909cd99661b0902533 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fdbaa226708190b8ed96e93aad38de |
completed | May 8, 2026, 10:27 a.m. |
| PD | Predicate disambiguation | batch_69fdb58b07e48190837e00966de050d4 |
completed | May 8, 2026, 10:06 a.m. |
Created at: May 1, 2026, 1:34 a.m.