Triple
T34299303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Broadway (Bronx) |
E880124
|
entity |
| Predicate | hasStationOnOrNear |
P77644
|
FINISHED |
| Object | Marble Hill–225th Street |
—
|
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: Marble Hill–225th Street | Statement: [Broadway (Bronx), hasStationOnOrNear, Marble Hill–225th Street]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStationOnOrNear Context triple: [Broadway (Bronx), hasStationOnOrNear, Marble Hill–225th Street]
-
A.
hasStationNear
chosen
Indicates that one entity has a station located in close proximity to another entity.
-
B.
hasStationAt
Indicates that an entity maintains or operates a station located at a specified place.
-
C.
hasAdjacentStationOnAC
Indicates that one station is directly next to another station along the AC line or route.
-
D.
isStationOf
Indicates that a given location functions as a station (e.g., transport or service hub) associated with or serving a particular system, line, route, or organization.
-
E.
hasStationInCity
Indicates that a station or facility is located within a particular city.
- 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_69f349b79f6c81909cb468c92c39c74d |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff8ba3f8248190bbdf8e7ec2b35093 |
completed | May 9, 2026, 7:31 p.m. |
| PD | Predicate disambiguation | batch_69ff8b41ba988190a7332e8317d10f09 |
completed | May 9, 2026, 7:30 p.m. |
Created at: May 1, 2026, 1:57 a.m.