Triple

T10449406
Position Surface form Disambiguated ID Type / Status
Subject Pennsylvania Route 100 E246377 entity
Predicate abbreviation P43 FINISHED
Object SR 0100 E673726 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: SR 0100 | Statement: [Pennsylvania Route 100, abbreviation, SR 0100]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SR 0100
Context triple: [Pennsylvania Route 100, abbreviation, SR 0100]
  • A. SR 100
    SR 100 is a state highway in Maine that runs generally parallel to Interstate 95, connecting several communities between Portland and Bangor.
  • B. SR 100
    SR 100 is a state highway in Georgia that runs generally north–south, connecting several small towns and rural areas in the western part of the state.
  • C. SR 100 chosen
    SR 100 is a state highway designation commonly used in the United States for a numbered route within a state's road network.
  • D. SR111
    SR111 was a Swissair international passenger flight that tragically crashed into the Atlantic Ocean near Nova Scotia in 1998, killing all 229 people on board.
  • E. SR 400
    SR 400 is a major north–south highway in Georgia that serves as a key commuter and traffic corridor through the Atlanta metropolitan area.
  • 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_69d381c04fe08190957c26c526a3b05a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4fe09af04819083db42f4de4cb0a9 completed April 7, 2026, 12:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69d87efedf6c8190aa4b7bbe5f160eeb completed April 10, 2026, 4:39 a.m.
Created at: April 6, 2026, 12:16 p.m.