Triple

T15574229
Position Surface form Disambiguated ID Type / Status
Subject Hahn Air Base E374326 entity
Predicate IATACode P418 FINISHED
Object HHN
HHN is the IATA airport code for Frankfurt–Hahn Airport, a commercial airport in western Germany.
 E1165288 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: HHN | Statement: [Hahn Air Base, IATACode, HHN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HHN
Context triple: [Hahn Air Base, IATACode, HHN]
  • A. HNH
    HNH is the National Rail station code for Herne Hill railway station in south London, England.
  • B. HHD
    HHD is the commonly used abbreviation for the College of Health and Human Development, an academic unit focused on disciplines related to human health, well-being, and quality of life.
  • C. HHD
    HHD is the National Rail station code for Holyhead railway station in Anglesey, Wales.
  • D. NHNN
    NHNN is the Vietnamese abbreviation for the State Bank of Vietnam, the country’s central bank responsible for monetary policy and financial regulation.
  • E. NHNN
    NHNN is a leading UK specialist hospital dedicated to the diagnosis, treatment, and research of neurological and neurosurgical conditions.
  • 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: HHN
Triple: [Hahn Air Base, IATACode, HHN]
Generated description
HHN is the IATA airport code for Frankfurt–Hahn Airport, a commercial airport in western Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HHN
Target entity description: HHN is the IATA airport code for Frankfurt–Hahn Airport, a commercial airport in western Germany.
  • A. HNH
    HNH is the National Rail station code for Herne Hill railway station in south London, England.
  • B. HHD
    HHD is the National Rail station code for Holyhead railway station in Anglesey, Wales.
  • C. HHD
    HHD is the commonly used abbreviation for the College of Health and Human Development, an academic unit focused on disciplines related to human health, well-being, and quality of life.
  • D. NHNN
    NHNN is the Vietnamese abbreviation for the State Bank of Vietnam, the country’s central bank responsible for monetary policy and financial regulation.
  • E. NHNN
    NHNN is a leading UK specialist hospital dedicated to the diagnosis, treatment, and research of neurological and neurosurgical conditions.
  • 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_69d85ccd575081908909b71a3f3e3a61 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e2140388190a8df7b835eaa72ce completed April 16, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c4767e48190a180062688cdc245 completed May 9, 2026, 3:01 p.m.
NEDg Description generation batch_69ff507a84c081909ab592497be644fb completed May 9, 2026, 3:19 p.m.
NED2 Entity disambiguation (via description) batch_69ff50f653f48190ae5bd6fcb5665041 completed May 9, 2026, 3:21 p.m.
Created at: April 10, 2026, 4:10 a.m.