Triple

T14628279
Position Surface form Disambiguated ID Type / Status
Subject Metrotren Rancagua commuter service E343409 entity
Predicate operatorAbbreviation P43 FINISHED
Object EFE E1025046 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: EFE | Statement: [Metrotren Rancagua commuter service, operatorAbbreviation, EFE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EFE
Context triple: [Metrotren Rancagua commuter service, operatorAbbreviation, EFE]
  • A. EFE chosen
    EFE is Chile’s state-owned railway company responsible for operating and managing much of the country’s passenger and freight rail network.
  • B. Efejoku
    Efejoku is a popular Nigerian street-hop song by rapper Lil Kesh, known for its energetic beat and club-friendly vibe.
  • C. Meduza
    Meduza is an Italian electronic music production trio best known for their chart-topping house tracks like "Piece of Your Heart" and "Lose Control."
  • D. EDFE
    EDFE is the ICAO airport code for Frankfurt Egelsbach Airport, a general aviation airfield near Frankfurt, Germany.
  • E. EFRO
    EFRO is the ICAO airport code for Rovaniemi Air Base in Finland, which serves both military and civilian air traffic near the Arctic Circle.
  • 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_69d822dffc3c8190aa173b90761bffda completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4a7c8fc81909d10c1f563d7d1e7 completed April 14, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda92c25ac8190ba931c009e7ace19 completed May 8, 2026, 9:13 a.m.
Created at: April 10, 2026, 1:26 a.m.