Triple

T1479581
Position Surface form Disambiguated ID Type / Status
Subject Massachusetts Route 2 E30920 entity
Predicate abbreviation P43 FINISHED
Object Route 2 E17391 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: Route 2 | Statement: [Massachusetts Route 2, abbreviation, Route 2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Route 2
Context triple: [Massachusetts Route 2, abbreviation, Route 2]
  • A. Route 2 chosen
    Route 2 is a major state highway in Massachusetts that serves as a key commuter route between the Boston area and the state's northwestern regions.
  • B. Route 10
    Route 10 is a SEPTA subway–surface trolley line in Philadelphia that provides light rail service between Center City and the city’s western neighborhoods.
  • C. Route 27
    Route 27 is a major north–south state highway in New Jersey that runs through several central and northern communities, serving as a key local and commuter route.
  • D. Route 24E
    Route 24E is a historic Lisbon tram line known for its classic yellow trams and scenic journey through central neighborhoods.
  • E. Route 12E
    Route 12E is a historic Lisbon tram line known for its short, scenic loop through the city’s old quarters in traditional yellow trams.
  • 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_69a498fe55a88190ab7f9e40ace88e49 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c6739d2481909ea8d8e075f62cf3 completed March 1, 2026, 11:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad15aff1288190a3e36324d975d482 completed March 8, 2026, 6:22 a.m.
Created at: March 1, 2026, 8:11 p.m.