Triple

T13048151
Position Surface form Disambiguated ID Type / Status
Subject Erzurum Airport E327377 entity
Predicate IATAcode P418 FINISHED
Object ERZ
ERZ is the IATA airport code for Erzurum Airport, a public airport serving the city of Erzurum in eastern Turkey.
E1018264 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: ERZ | Statement: [Erzurum Airport, IATAcode, ERZ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ERZ
Context triple: [Erzurum Airport, IATAcode, ERZ]
  • A. ERZ
    ERZ is the vehicle registration code for the Erzgebirgskreis district in the Free State of Saxony, Germany.
  • B. ER3
    ER3 is the IATA aircraft type code used to designate the Embraer ERJ 135 regional jet.
  • C. Er
    Er is a minor biblical figure in the Book of Genesis, known as the firstborn son of Judah whose early death led to the levirate marriage of his widow Tamar.
  • D. ER
    ER is the commonly used abbreviation for United Russia, the dominant ruling political party in the Russian Federation.
  • E. ER
    ER is the zone code for Eastern Railway, one of the major railway zones of Indian Railways headquartered in Kolkata.
  • 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: ERZ
Triple: [Erzurum Airport, IATAcode, ERZ]
Generated description
ERZ is the IATA airport code for Erzurum Airport, a public airport serving the city of Erzurum in eastern Turkey.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: ERZ
Target entity description: ERZ is the IATA airport code for Erzurum Airport, a public airport serving the city of Erzurum in eastern Turkey.
  • A. ERZ
    ERZ is the vehicle registration code for the Erzgebirgskreis district in the Free State of Saxony, Germany.
  • B. ER3
    ER3 is the IATA aircraft type code used to designate the Embraer ERJ 135 regional jet.
  • C. Er
    Er is a minor biblical figure in the Book of Genesis, known as the firstborn son of Judah whose early death led to the levirate marriage of his widow Tamar.
  • D. ER
    ER is the commonly used abbreviation for United Russia, the dominant ruling political party in the Russian Federation.
  • E. ER
    ER is the abbreviation used to designate the Eastern Region of British Rail, a major administrative division of the former British railway network covering eastern England.
  • 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_69d8076e64308190904fb5c93517c901 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980b8811c81908577f092e2736610 completed April 10, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbd8f1308190992c0bd832e1b05e completed May 3, 2026, 4:15 a.m.
NEDg Description generation batch_69f6cd98d29c8190b33cb2cc6c477b1d completed May 3, 2026, 4:22 a.m.
NED2 Entity disambiguation (via description) batch_69f6ce23ca208190960409130c4c52a9 completed May 3, 2026, 4:25 a.m.
Created at: April 9, 2026, 8:57 p.m.