Triple

T12132219
Position Surface form Disambiguated ID Type / Status
Subject Line 5 (Brussels Metro) E288960 entity
Predicate fareMedium P1303 FINISHED
Object Mobib card E932658 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: Mobib card | Statement: [Line 5 (Brussels Metro), fareMedium, Mobib card]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mobib card
Context triple: [Line 5 (Brussels Metro), fareMedium, Mobib card]
  • A. Mobib card chosen
    The Mobib card is a rechargeable smartcard used as an electronic ticketing system for public transport in Brussels and other parts of Belgium.
  • B. Mifi
    Mifi is a department in Cameroon's West Region, serving as an administrative division with its own local governance and population centers.
  • C. T-Mo
    T-Mo is an American rapper best known as a member of the Atlanta hip hop group Goodie Mob and the larger Dungeon Family collective.
  • D. MTN
    MTN is the IATA airport code for Martin State Airport, a public airport serving the Baltimore, Maryland area.
  • E. MTN
    MTN is the stock ticker symbol for Vail Resorts, a major operator of ski resorts and mountain recreation properties.
  • 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_69d6ab4b5e4c81909950b17151eb0951 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9158b34648190b5eecdf9b07fbb3f completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f68c8ee081908a0331805f62cb0d completed May 2, 2026, 1:05 p.m.
Created at: April 8, 2026, 9:49 p.m.