Triple
T42978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port of New York and New Jersey |
E844
|
entity |
| Predicate | isMajorHubFor |
P164
|
FINISHED |
| Object | container shipping |
—
|
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: container shipping | Statement: [Port of New York and New Jersey, isMajorHubFor, container shipping]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMajorHubFor Context triple: [Port of New York and New Jersey, isMajorHubFor, container shipping]
-
A.
isMajorCenterOf
chosen
Indicates that a place serves as a primary hub or focal point for a particular activity, function, or domain.
-
B.
isRailHubFor
Indicates that a location functions as a central node or interchange point within a rail network for the referenced area, routes, or services.
-
C.
hasMajorRailwayStation
Indicates that a place contains or is served by a principal railway station that functions as a major hub for rail transport.
-
D.
hasMajorCity
Indicates that a location possesses at least one city of significant size, importance, or influence within its region or country.
-
E.
hasMajorAirport
Indicates that a location possesses at least one significant airport that serves as a primary hub for air travel in that area.
- 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_69a247a8f6c08190bac804906d62ed5a |
completed | Feb. 28, 2026, 1:40 a.m. |
| NER | Named-entity recognition | batch_69a24c083ad081909c1122c8fb29efdc |
completed | Feb. 28, 2026, 1:59 a.m. |
| PD | Predicate disambiguation | batch_69a24aba9a2c81909f769a8f22e30c92 |
completed | Feb. 28, 2026, 1:54 a.m. |
Created at: Feb. 28, 2026, 1:46 a.m.