Triple
T508826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Newark Liberty International Airport |
E10559
|
entity |
| Predicate | hasCustomsFacility |
P7852
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Newark Liberty International Airport, hasCustomsFacility, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCustomsFacility Context triple: [Newark Liberty International Airport, hasCustomsFacility, yes]
-
A.
hasUSCustomsFacilities
Indicates that a location or facility is equipped with official United States Customs services for processing people or goods entering from abroad.
-
B.
hasCustomsAndImmigration
chosen
Indicates that customs and immigration control services are present or provided at a given location or facility.
-
C.
customsRegime
Indicates the specific customs treatment or regulatory framework under which goods are imported, exported, or stored.
-
D.
hasCargoTerminal
Indicates that a location or facility includes or is equipped with a cargo terminal for handling freight.
-
E.
hasBorderCrossingFunction
Indicates that an entity serves as a location or facility where people, goods, or vehicles can legally cross a border between jurisdictions.
- 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_69a2e848adf881908e5e04f7af030093 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f162f3888190b057ad04e40a30e2 |
completed | Feb. 28, 2026, 1:45 p.m. |
| PD | Predicate disambiguation | batch_69a2edfe236481909901cc7d4281b33c |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.