Triple

T10456928
Position Surface form Disambiguated ID Type / Status
Subject Asian Highway Network E246573 entity
Predicate abbreviation P43 FINISHED
Object AH
AH is the standard abbreviation used to designate routes within the transnational Asian Highway Network spanning multiple countries across Asia and parts of Europe.
 E622169 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: AH | Statement: [Asian Highway Network, abbreviation, AH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AH
Context triple: [Asian Highway Network, abbreviation, AH]
  • A. AH
    AH is a German vehicle registration code associated with the town of Alstätte.
  • B. HA
    HA is the IATA airline designator for Hawaiian Airlines, the largest and longest-serving commercial airline based in Hawaii.
  • C. AH1
    AH1 is a major route in the Asian Highway Network that runs from Tokyo, Japan, through multiple Asian countries to the border between Turkey and Bulgaria in Europe.
  • D. ASH
    ASH is the ICAO airline designator used to identify Mesa Airlines in international aviation operations.
  • E. AHA
    AHA is the commonly used acronym for Atlantic Hockey, a collegiate ice hockey conference in the NCAA.
  • 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: AH
Triple: [Asian Highway Network, abbreviation, AH]
Generated description
AH is the standard abbreviation used to designate routes within the transnational Asian Highway Network spanning multiple countries across Asia and parts of Europe.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AH
Target entity description: AH is the standard abbreviation used to designate routes within the transnational Asian Highway Network spanning multiple countries across Asia and parts of Europe.
  • A. AH chosen
    AH is a German vehicle registration code associated with the town of Alstätte.
  • B. HA
    HA is the IATA airline designator for Hawaiian Airlines, the largest and longest-serving commercial airline based in Hawaii.
  • C. AH1
    AH1 is a major route in the Asian Highway Network that runs from Tokyo, Japan, through multiple Asian countries to the border between Turkey and Bulgaria in Europe.
  • D. ASH
    ASH is the ICAO airline designator used to identify Mesa Airlines in international aviation operations.
  • E. AHA
    AHA is the commonly used acronym for Atlantic Hockey, a collegiate ice hockey conference in the NCAA.
  • F. None of above.

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_69d381c04fe08190957c26c526a3b05a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4fe498a808190b88530f0221df4a6 completed April 7, 2026, 12:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69d87f10b45c81908f1d3128c65750f8 completed April 10, 2026, 4:39 a.m.
NEDg Description generation batch_69d886c64e008190a914b66be16566d1 completed April 10, 2026, 5:12 a.m.
NED2 Entity disambiguation (via description) batch_69d88dd0c28481908008aea09bf956ca completed April 10, 2026, 5:42 a.m.
Created at: April 6, 2026, 12:18 p.m.