Triple
T26746228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brooklyn and Staten Island |
E674409
|
entity |
| Predicate | sharePortFacilities |
P71121
|
FINISHED |
| Object | Port of New York and New Jersey region |
—
|
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: Port of New York and New Jersey region | Statement: [Brooklyn and Staten Island, sharePortFacilities, Port of New York and New Jersey region]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sharePortFacilities Context triple: [Brooklyn and Staten Island, sharePortFacilities, Port of New York and New Jersey region]
-
A.
sharesFacilityWith
chosen
Indicates that two entities use or have access to the same physical facility or location.
-
B.
passengerFacilities
Indicates the facilities, services, or amenities that are available for use by passengers at a given location or within a given transport context.
-
C.
hasFacilities
Indicates that an entity possesses, provides, or is equipped with certain facilities or physical resources.
-
D.
associatedSpaceFacility
Indicates that there is a relationship linking an entity to a specific space-related facility with which it is connected or involved.
-
E.
hasDockingFacilities
Indicates that one entity provides or is equipped with docking facilities for another entity.
- 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_69eecda63a3881908095c47900692e65 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69fb563aec448190875410fb1a3ed624 |
completed | May 6, 2026, 2:54 p.m. |
| PD | Predicate disambiguation | batch_69fb35b9ede881908aaae93a215525df |
completed | May 6, 2026, 12:36 p.m. |
Created at: April 27, 2026, 3:51 a.m.