Triple

T2038404
Position Surface form Disambiguated ID Type / Status
Subject Hudson–Bergen Light Rail E44685 entity
Predicate connectsWith P37 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: [Hudson–Bergen Light Rail, connectsWith, PATH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PATH
Context triple: [Hudson–Bergen Light Rail, connectsWith, 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. 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.
  • E. 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.
  • 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_69a889159ec481908f9e4472d9f480c7 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb951870481909dbdd8fc8b0c02fe completed March 7, 2026, 5:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae1ff63de081908795a95c998dd9ac completed March 9, 2026, 1:18 a.m.
Created at: March 4, 2026, 7:39 p.m.