Triple

T15723003
Position Surface form Disambiguated ID Type / Status
Subject Runway 09L/27R E381147 entity
Predicate locatedIn P40 FINISHED
Object São Paulo state E60066 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: São Paulo state | Statement: [Runway 09L/27R, locatedIn, São Paulo state]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: São Paulo state
Context triple: [Runway 09L/27R, locatedIn, São Paulo state]
  • A. state of São Paulo chosen
    The state of São Paulo is Brazil’s most populous and economically developed state, centered on its capital city of São Paulo, a major global financial and cultural hub.
  • B. Prefecture of São Paulo
    The Prefecture of São Paulo is the municipal government authority responsible for administering the city of São Paulo, Brazil.
  • C. State of Rio de Janeiro
    The State of Rio de Janeiro is a coastal state in southeastern Brazil known for its capital city of Rio de Janeiro, major ports, tourism, and significant cultural and economic influence.
  • D. Goiás
    Goiás is a large inland state in central Brazil known for its agricultural production, Cerrado savanna landscapes, and the regional capital city of Goiânia.
  • E. Minas Gerais
    Minas Gerais is a large, historically rich state in southeastern Brazil known for its colonial-era towns, mining heritage, and significant cultural and architectural landmarks.
  • 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_69d86d9cdb648190bf3171be0bd7d872 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04fb1fdd4819088f3e243263e5f73 completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff997fe6f48190813bde2bfc11c253 completed May 9, 2026, 8:30 p.m.
Created at: April 10, 2026, 4:46 a.m.