Triple

T12394977
Position Surface form Disambiguated ID Type / Status
Subject Gruta de Lourdes station E296092 entity
Predicate fareMedium P1303 FINISHED
Object Bip! card E284705 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: Bip! card | Statement: [Gruta de Lourdes station, fareMedium, Bip! card]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bip! card
Context triple: [Gruta de Lourdes station, fareMedium, Bip! card]
  • A. Bip! card chosen
    The Bip! card is a rechargeable contactless smart card used to pay fares across Santiago, Chile’s integrated public transportation system.
  • B. BIP
    BIP was the abbreviation for the Bureau of Information and Propaganda, a key Polish underground organization responsible for information, education, and psychological operations during World War II.
  • C. Leap Card
    Leap Card is a reusable, contactless smart card used for paying public transport fares across Dublin and other parts of Ireland.
  • D. Beep card
    The Beep card is a contactless smart card used as a stored-value ticketing system for public transportation and related services in the Philippines.
  • E. ConnectCard
    ConnectCard is a reusable smart fare card used by Pittsburgh Regional Transit riders to pay for public transportation across the Pittsburgh 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_69d6ad9e653c8190b1473c860ee53dae completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d93fd33f048190b205fd21dc513f6a completed April 10, 2026, 6:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6347e27b4819085494babfe180488 completed May 2, 2026, 5:29 p.m.
Created at: April 8, 2026, 9:54 p.m.