Triple
T25527922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 7 |
E639824
|
entity |
| Predicate | majorHubServed |
P172081
|
FINISHED |
| Object | Times Square–42nd 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: Times Square–42nd Street | Statement: [7, majorHubServed, Times Square–42nd Street]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorHubServed Context triple: [7, majorHubServed, Times Square–42nd Street]
-
A.
otherMajorHub
Indicates that an entity is another primary hub or central node within the same network or system as the reference entity.
-
B.
isGroundTransportHubFor
Indicates that a location functions as a central node or facility for organizing, coordinating, or serving ground-based transportation for another place or set of routes.
-
C.
cityServedFromHub
Indicates that a particular city is served or connected via transportation routes originating from a specified hub.
-
D.
hasMajorHubIn
Indicates that an entity maintains a primary or significant operational hub or center in a specified location.
-
E.
transportationHubType
Indicates the specific kind of transportation hub an entity is (e.g., airport, train station, bus terminal).
- 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_69e75dbf3f9c8190b3f2a75d1b75d127 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f6a9603b208190b3533ea2b441514c |
completed | May 3, 2026, 1:48 a.m. |
| PD | Predicate disambiguation | batch_69f6a751d5e48190a77dcecbe7ef9f0b |
completed | May 3, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f6a8de0b948190ae333e9cd99cbf6c |
completed | May 3, 2026, 1:46 a.m. |
Created at: April 21, 2026, 3:11 p.m.