Triple

T7946122
Position Surface form Disambiguated ID Type / Status
Subject Enshi Xujiaping Airport E184501 entity
Predicate IATAcode P418 FINISHED
Object ENH
ENH is the IATA airport code for Enshi Xujiaping Airport, a regional airport serving Enshi in Hubei Province, China.
 E704489 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: ENH | Statement: [Enshi Xujiaping Airport, IATAcode, ENH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ENH
Context triple: [Enshi Xujiaping Airport, IATAcode, ENH]
  • A. EH
    EH is the postcode area covering Edinburgh and surrounding parts of eastern Scotland.
  • B. EH
    EH is the ISO 3166-1 alpha-2 country code assigned to Western Sahara.
  • C. Enz
    The Enz is a river in southwestern Germany that flows through the Black Forest region before joining the Neckar River.
  • D. EHN1
    EHN1 is a large experimental hall in CERN’s North Area used for fixed-target and test-beam particle physics experiments served by the Super Proton Synchrotron.
  • E. HNE
    HNE is the abbreviation for Historic New England, a regional heritage organization dedicated to preserving and interpreting New England’s historic homes, landscapes, and cultural artifacts.
  • 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: ENH
Triple: [Enshi Xujiaping Airport, IATAcode, ENH]
Generated description
ENH is the IATA airport code for Enshi Xujiaping Airport, a regional airport serving Enshi in Hubei Province, China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ENH
Target entity description: ENH is the IATA airport code for Enshi Xujiaping Airport, a regional airport serving Enshi in Hubei Province, China.
  • A. EH
    EH is the postcode area covering Edinburgh and surrounding parts of eastern Scotland.
  • B. EH
    EH is the ISO 3166-1 alpha-2 country code assigned to Western Sahara.
  • C. Enz
    The Enz is a river in southwestern Germany that flows through the Black Forest region before joining the Neckar River.
  • D. EHN1
    EHN1 is a large experimental hall in CERN’s North Area used for fixed-target and test-beam particle physics experiments served by the Super Proton Synchrotron.
  • E. HNE
    HNE is the abbreviation for Historic New England, a regional heritage organization dedicated to preserving and interpreting New England’s historic homes, landscapes, and cultural artifacts.
  • 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_69ca8291c2008190b1b8832c87814bcf completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3b29a570819091a2ac185a8d57c4 completed March 31, 2026, 3:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe02faa308190aeba83cc6cb96153 completed March 31, 2026, 2:54 p.m.
NEDg Description generation batch_69cbe4383d0c819085e7c95e7b0be16e completed March 31, 2026, 3:11 p.m.
NED2 Entity disambiguation (via description) batch_69cc34a83cec81908aba7afbaea53449 completed March 31, 2026, 8:55 p.m.
Created at: March 30, 2026, 5:09 p.m.