Triple

T14509632
Position Surface form Disambiguated ID Type / Status
Subject OTHH E340361 entity
Predicate replacedAirport P29669 FINISHED
Object OTBD E340362 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: OTBD | Statement: [OTHH, replacedAirport, OTBD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OTBD
Context triple: [OTHH, replacedAirport, OTBD]
  • A. OTBD chosen
    OTBD was the former ICAO airport code for Doha International Airport, the main airport serving Doha, Qatar before Hamad International Airport opened.
  • B. OT
    OT is the abbreviation for Organisation Todt, the Nazi-era civil and military engineering group responsible for large-scale construction projects such as the Atlantic Wall.
  • C. OT
    OT is the commonly used abbreviation for the Teide Observatory, a major astronomical research facility located on Tenerife in Spain’s Canary Islands.
  • D. OT
    OT is the station code for Oranienburger Tor, a Berlin U-Bahn station on the city’s central U6 line.
  • E. OT
    OT is the vehicle registration code used on license plates for vehicles registered in Olt County, Romania.
  • 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_69d822d9c0408190b9a2b3643e58bb4d completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69de94e5b7b48190878be271840c265b completed April 14, 2026, 7:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6da26a308190bf86ed1edbe8d57e completed May 8, 2026, 4:59 a.m.
Created at: April 10, 2026, 1:21 a.m.