Triple

T12312517
Position Surface form Disambiguated ID Type / Status
Subject Itapevi E293514 entity
Predicate railLine P848 FINISHED
Object Line 8–Diamond E293552 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: Line 8–Diamond | Statement: [Itapevi, railLine, Line 8–Diamond]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Line 8–Diamond
Context triple: [Itapevi, railLine, Line 8–Diamond]
  • A. Line 8-Diamante chosen
    Line 8-Diamante is a commuter rail line in the São Paulo metropolitan area, operated by CPTM and serving western suburbs of the city.
  • B. Line 9–Emerald
    Line 9–Emerald is a New York City Subway service running along the Lexington Avenue Line in Manhattan and into Brooklyn, typically designated by the dark green color on subway maps.
  • C. Line 8
    Line 8 is a rapid transit line of the Beijing Subway system that serves key central and northern districts of Beijing.
  • D. Line 8
    Line 8 is a rapid transit line of the Guangzhou Metro system in Guangzhou, China, serving as one of the city's key urban rail corridors.
  • E. Line 8
    Line 8 is a rapid transit line of the Shenzhen Metro system in Shenzhen, China, serving as part of the city's expanding urban rail network.
  • 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_69d6ab6a2b50819082f6aedd32ed608a completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f03d3c88190baedffb83465bff8 completed April 10, 2026, 6:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e84fa708190854afc6afd425fd7 completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:53 p.m.