Triple

T22226692
Position Surface form Disambiguated ID Type / Status
Subject East Asian Games E549356 entity
Predicate shortName P43 FINISHED
Object EAG
EAG is the abbreviation commonly used for the East Asian Games, a regional multi-sport event featuring athletes from East Asian countries.
 E1525631 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: EAG | Statement: [East Asian Games, shortName, EAG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: EAG
Context triple: [East Asian Games, shortName, EAG]
  • A. EGEL
    EGEL is the ICAO airport code for Coll Airport, a small airfield serving the island of Coll in Scotland.
  • B. Aeg
    Aeg was a German electricity company that played a key role in early 20th-century industrial design and technology, notably supporting avant-garde projects like the Light-Space Modulator.
  • C. Ea
    Ea, also known as Enki, is a major Mesopotamian god associated with wisdom, magic, and freshwater, revered as a creator and benefactor of humanity.
  • D. Ea
    Ea is a small coastal town and municipality in the Basque Country in northern Spain, known for its picturesque estuary and traditional Basque architecture.
  • E. EGEAC
    EGEAC is a Lisbon-based municipal cultural company responsible for managing and promoting many of the city’s major cultural events, venues, and artistic initiatives.
  • 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: EAG
Triple: [East Asian Games, shortName, EAG]
Generated description
EAG is the abbreviation commonly used for the East Asian Games, a regional multi-sport event featuring athletes from East Asian countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: EAG
Target entity description: EAG is the abbreviation commonly used for the East Asian Games, a regional multi-sport event featuring athletes from East Asian countries.
  • A. EGEL
    EGEL is the ICAO airport code for Coll Airport, a small airfield serving the island of Coll in Scotland.
  • B. Aeg
    Aeg was a German electricity company that played a key role in early 20th-century industrial design and technology, notably supporting avant-garde projects like the Light-Space Modulator.
  • C. Ea
    Ea, also known as Enki, is a major Mesopotamian god associated with wisdom, magic, and freshwater, revered as a creator and benefactor of humanity.
  • D. Ea
    Ea is a small coastal town and municipality in the Basque Country in northern Spain, known for its picturesque estuary and traditional Basque architecture.
  • E. EGEAC
    EGEAC is a Lisbon-based municipal cultural company responsible for managing and promoting many of the city’s major cultural events, venues, and artistic initiatives.
  • 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_69e11e403d6481909a94d0aaf157f6ef completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12befe38c8190b547586e41b099b1 completed April 28, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0aae734ccc8190a16b3f3350fa5ebc completed May 18, 2026, 6:15 a.m.
NEDg Description generation batch_6a0ab00780f8819086ef4d3e5756133d completed May 18, 2026, 6:21 a.m.
NED2 Entity disambiguation (via description) batch_6a0ab0befa5481909d00cb845dd67b12 completed May 18, 2026, 6:25 a.m.
Created at: April 16, 2026, 8:37 p.m.