Triple

T12805464
Position Surface form Disambiguated ID Type / Status
Subject Bornova station E306132 entity
Predicate hasStationCode P1289 FINISHED
Object BRN
BRN is the station code for Bornova railway station in İzmir, Turkey.
E1004665 NE FINISHED

How this triple was built (4 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: BRN | Statement: [Bornova station, hasStationCode, BRN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BRN
Context triple: [Bornova station, hasStationCode, BRN]
  • A. BRN
    BRN is the IATA airport code for Bern Airport, the primary airport serving Switzerland’s capital city.
  • B. Brn
    Brn is the station code used to identify Baarn railway station in the Netherlands’ rail network.
  • C. BRD
    BRD is the IATA airport code for Brainerd Lakes Regional Airport, a public airport serving the Brainerd area in Minnesota, United States.
  • D. Br
    Br is the currency symbol used to denote the Ethiopian birr, the official monetary unit of Ethiopia.
  • E. BR
    BR is the upper house of Austria’s parliament, representing the federal states in the legislative process.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: BRN
Triple: [Bornova station, hasStationCode, BRN]
Generated description
BRN is the station code for Bornova railway station in İzmir, Turkey.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: BRN
Target entity description: BRN is the station code for Bornova railway station in İzmir, Turkey.
  • A. BRN
    BRN is the IATA airport code for Bern Airport, the primary airport serving Switzerland’s capital city.
  • B. Brn
    Brn is the station code used to identify Baarn railway station in the Netherlands’ rail network.
  • C. BRD
    BRD is the IATA airport code for Brainerd Lakes Regional Airport, a public airport serving the Brainerd area in Minnesota, United States.
  • D. Br
    Br is the currency symbol used to denote the Ethiopian birr, the official monetary unit of Ethiopia.
  • E. BR
    BR is the upper house of Austria’s parliament, representing the federal states in the legislative process.
  • F. None of above. chosen

Provenance (5 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_69d7bdf366888190a8cccb982606889c completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e7f370c8190b3fc39c1b63394c6 completed April 10, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68ec463f08190822e5235362cf584 completed May 2, 2026, 11:54 p.m.
NEDg Description generation batch_69f6908cb8ec8190855b217c13a51f16 completed May 3, 2026, 12:02 a.m.
NED2 Entity disambiguation (via description) batch_69f6917688508190ae5a64494eaadce7 completed May 3, 2026, 12:06 a.m.
Created at: April 9, 2026, 5:30 p.m.