Triple

T16079162
Position Surface form Disambiguated ID Type / Status
Subject Runway 17L/35R E390054 entity
Predicate hasIcaoAirportCode P419 FINISHED
Object SBSP E293533 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: SBSP | Statement: [Runway 17L/35R, hasIcaoAirportCode, SBSP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SBSP
Context triple: [Runway 17L/35R, hasIcaoAirportCode, SBSP]
  • A. SBSP chosen
    SBSP is the ICAO airport code for Congonhas–São Paulo Airport, a major domestic airport serving the city of São Paulo, Brazil.
  • B. PBSP
    PBSP is a maximum-security California state prison in Crescent City known for housing some of the state’s most dangerous inmates and operating extensive Security Housing Units.
  • C. RBSP
    RBSP (Radiation Belt Storm Probes) was a NASA mission consisting of two spacecraft designed to study Earth's Van Allen radiation belts and their response to solar activity.
  • D. SPS
    SPS is the commonly used abbreviation for Seattle Public Schools, the primary public school district serving the city of Seattle, Washington.
  • E. SPS
    SPS is a high-energy circular particle accelerator at CERN that serves as a key injector for the Large Hadron Collider and supports a wide range of physics experiments.
  • 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_69d86daf32ec8190a8c0466c8f49c3c0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e18448bebc8190b0e84b1da097bf8b completed April 17, 2026, 12:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffe48adec081909623355eabee472c completed May 10, 2026, 1:51 a.m.
Created at: April 10, 2026, 4:57 a.m.