Triple

T3575965
Position Surface form Disambiguated ID Type / Status
Subject 1A (Massachusetts) E75688 entity
Predicate abbreviation P43 FINISHED
Object Route 1A E11556 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 1A | Statement: [1A (Massachusetts), abbreviation, Route 1A]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Route 1A
Context triple: [1A (Massachusetts), abbreviation, Route 1A]
  • A. Route 1A chosen
    Route 1A is a state highway in Massachusetts that runs along the North Shore and provides access to Logan International Airport and coastal communities near Boston.
  • 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 15E
    Route 15E is a popular Lisbon tram line known for connecting the city center with the Belém district and its major historical attractions.
  • D. Route 129
    Route 129 is a state highway in Massachusetts that runs east–west, connecting several communities north of Boston.
  • E. Route 18E
    Route 18E is a historic Lisbon tram line known for its classic yellow trams and scenic journey through traditional neighborhoods.
  • 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_69ad85d5e3008190bdfe0bacdd1f5a1b completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc0da77008190922f414b85b9cad4 completed March 8, 2026, 6:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3bbc3d4e88190b18ed318c55594cc completed March 13, 2026, 7:24 a.m.
Created at: March 8, 2026, 3:21 p.m.