Triple

T2465511
Position Surface form Disambiguated ID Type / Status
Subject Hoboken Terminal E55237 entity
Predicate rapidTransitSystem P32065 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: [Hoboken Terminal, rapidTransitSystem, PATH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PATH
Context triple: [Hoboken Terminal, rapidTransitSystem, 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 postcode area in western Scotland that covers Paisley and parts of the surrounding Greater Glasgow region.
  • C. PA
    PA is the standard two-letter U.S. Postal Service abbreviation for the state of Pennsylvania.
  • D. Passabe
    Passabe is a village and administrative post in the Oecusse exclave of Timor-Leste, known for its remote location and its role in the region’s political and social history.
  • E. Seguam Pass
    Seguam Pass is a navigable strait in the central Aleutian Islands of Alaska, separating Seguam Island from nearby islands and connecting parts of the North Pacific Ocean and the Bering Sea.
  • 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_69ab49e3622c8190ad22afa2c4fbb807 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd1216f44819094c46ae7c2c1e394 completed March 7, 2026, 7:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69af179ccbd081908b7cff0052597e85 completed March 9, 2026, 6:55 p.m.
Created at: March 6, 2026, 9:44 p.m.