Triple

T19433247
Position Surface form Disambiguated ID Type / Status
Subject Eléctrico 28 E486167 entity
Predicate alsoKnownAs P39 FINISHED
Object Tram 28 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: Tram 28 | Statement: [Eléctrico 28, alsoKnownAs, Tram 28]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tram 28
Context triple: [Eléctrico 28, alsoKnownAs, Tram 28]
  • A. Tram 28 chosen
    Tram 28 is a historic yellow Lisbon tram route famous for its scenic ride through the city’s steep, narrow streets and major old-town landmarks.
  • B. Tram 12
    Tram 12 is a major tram line in Geneva’s public transport system, connecting key neighborhoods and suburbs across the city.
  • C. Tram 15
    Tram 15 is a major tram line in Geneva’s public transport system, connecting key districts across the city and its suburbs.
  • D. Tram 17
    Tram 17 is a tram line in Geneva’s public transport system operated by the city’s transit authority.
  • E. Tram 14
    Tram 14 is a major tram line in Geneva’s public transport system, connecting key districts and suburbs within the city.
  • 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_69d8e8d7ad488190a3373045029b0f3b completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6335dae10819096e1825741f814ed completed April 20, 2026, 2:08 p.m.
Created at: April 10, 2026, 1:37 p.m.