Triple

T9977622
Position Surface form Disambiguated ID Type / Status
Subject Pier A E196371 entity
Predicate airportIATA P418 FINISHED
Object BRU E192169 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: BRU | Statement: [Pier A, airportIATA, BRU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BRU
Context triple: [Pier A, airportIATA, BRU]
  • A. BRU chosen
    BRU is the IATA airport code for Brussels Airport, the main international airport serving Brussels, Belgium.
  • B. Brun
    Brun is a given name and surname of Germanic origin, closely related to and often used as a variant of Bruno.
  • C. Brugg
    Brugg is a historic Swiss town in the canton of Aargau, known for its medieval heritage and strategic location near the confluence of the Aare, Reuss, and Limmat rivers.
  • D. Brum
    Brum is a colloquial nickname commonly used to refer to the city of Birmingham in England and its local culture.
  • E. Bruls
    Bruls is a Dutch surname most notably borne by Hubert Bruls, a Dutch politician and long-serving mayor of Nijmegen.
  • 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_69ca82eea2b88190a0e511d21a31f386 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb84ef8ac8190abbe78b7611c5309 completed April 2, 2026, 12:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69d23dec07b48190a2c15a748324291b completed April 5, 2026, 10:48 a.m.
Created at: March 30, 2026, 8:48 p.m.