Triple

T709079
Position Surface form Disambiguated ID Type / Status
Subject Port Authority of New York and New Jersey E14166 entity
Predicate operates P24 FINISHED
Object PATH E21015 NE 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: PATH | Statement: [Port Authority of New York and New Jersey, operates, PATH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PATH
Context triple: [Port Authority of New York and New Jersey, operates, PATH]
  • A. PATH chosen
    PATH is a rapid transit rail system connecting Manhattan in New York City with neighboring cities in northern New Jersey.
  • B. PA
    PA is the standard two-letter U.S. Postal Service abbreviation for the state of Pennsylvania.
  • C. MAP
    MAP was the abbreviated name used for the United Kingdom’s Ministry of Aircraft Production, the World War II government department responsible for overseeing and increasing aircraft manufacturing.
  • D. Langway
    Langway is the surname of Rod Langway, a Hall of Fame National Hockey League defenseman known for his defensive prowess with the Washington Capitals.
  • E. PAR
    PAR is the IATA city code representing the collective airport system serving Paris, France, including major airports such as Charles de Gaulle and Orly.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69a493494ec48190ae6751683625a9ba completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a548e6dc819090d31ce33493a396 completed March 1, 2026, 8:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5dcb3452c8190a150b4a182807813 completed March 2, 2026, 6:53 p.m.
Created at: March 1, 2026, 7:36 p.m.