Triple

T20553697
Position Surface form Disambiguated ID Type / Status
Subject Latrobe station E504661 entity
Predicate hasAmtrakCode P18202 FINISHED
Object LAB NE NERFINISHED

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: LAB | Statement: [Latrobe station, hasAmtrakCode, LAB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LAB
Context triple: [Latrobe station, hasAmtrakCode, LAB]
  • A. LAB
    LAB is a Finnish university of applied sciences offering practice-oriented higher education and research in fields such as business, technology, design, and health.
  • B. LAB chosen
    LAB is the Amtrak station code for Latrobe station in Latrobe, Pennsylvania, used for ticketing and scheduling purposes.
  • C. Lab
    Lab is the common abbreviation for Páirtí an Lucht Oibre, the Irish Labour Party, a social-democratic political party in Ireland.
  • D. Labo
    Labo is a municipality in the Philippine province of Camarines Norte known for its agricultural economy and natural attractions such as caves, waterfalls, and mineral resources.
  • E. Humlab
    Humlab is a research and teaching infrastructure at Lund University that supports digital humanities and language technology through labs, tools, and interdisciplinary collaboration.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4b52c048190952b4d0f430813a3 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a5db052c8190801e53f6148113c8 completed April 20, 2026, 10:16 p.m.
Created at: April 16, 2026, 11:38 a.m.