Triple

T22003110
Position Surface form Disambiguated ID Type / Status
Subject Augsburg Airport E543381 entity
Predicate ICAOcode P419 FINISHED
Object EDMA
EDMA is the ICAO airport code for Augsburg Airport in Germany, used for international aviation identification and operations.
 E1511922 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: EDMA | Statement: [Augsburg Airport, ICAOcode, EDMA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: EDMA
Context triple: [Augsburg Airport, ICAOcode, EDMA]
  • A. EDDM
    EDDM is the ICAO airport code for Munich Airport, a major international aviation hub in Germany.
  • B. EDFM
    EDFM is the ICAO airport code for Mannheim City Airport, a regional airport serving the city of Mannheim in southwestern Germany.
  • C. ESMD
    ESMD is the former NASA directorate responsible for developing human and robotic exploration systems for missions beyond low Earth orbit.
  • D. ESDM
    ESDM is the commonly used abbreviation for Indonesia’s Ministry of Energy and Mineral Resources, the government body responsible for managing the country’s energy and mineral resource policies.
  • E. EDDL
    EDDL is the ICAO airport code for Düsseldorf Airport, a major international airport in Düsseldorf, Germany.
  • 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: EDMA
Triple: [Augsburg Airport, ICAOcode, EDMA]
Generated description
EDMA is the ICAO airport code for Augsburg Airport in Germany, used for international aviation identification and operations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: EDMA
Target entity description: EDMA is the ICAO airport code for Augsburg Airport in Germany, used for international aviation identification and operations.
  • A. EDDM
    EDDM is the ICAO airport code for Munich Airport, a major international aviation hub in Germany.
  • B. EDFM
    EDFM is the ICAO airport code for Mannheim City Airport, a regional airport serving the city of Mannheim in southwestern Germany.
  • C. ESMD
    ESMD is the former NASA directorate responsible for developing human and robotic exploration systems for missions beyond low Earth orbit.
  • D. ESDM
    ESDM is the commonly used abbreviation for Indonesia’s Ministry of Energy and Mineral Resources, the government body responsible for managing the country’s energy and mineral resource policies.
  • E. EDDL
    EDDL is the ICAO airport code for Düsseldorf Airport, a major international airport in Düsseldorf, Germany.
  • 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_69e11e2c814c8190837d072789000486 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1276cab5c8190ac1236fde7e0394a completed April 28, 2026, 9:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a6d8de70c819098d3726d18624c4a completed May 18, 2026, 1:38 a.m.
NEDg Description generation batch_6a0a6e43e9248190ba82f7cc9b4211fe completed May 18, 2026, 1:41 a.m.
NED2 Entity disambiguation (via description) batch_6a0a6ece6af88190b9ad30dab4ff7d56 completed May 18, 2026, 1:43 a.m.
Created at: April 16, 2026, 8:20 p.m.