Triple

T7815353
Position Surface form Disambiguated ID Type / Status
Subject Asian Highway 1 E180992 entity
Predicate networkCode P57366 FINISHED
Object 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.
 E694787 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: AH1 | Statement: [Asian Highway 1, networkCode, AH1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AH1
Context triple: [Asian Highway 1, networkCode, AH1]
  • A. AH
    AH is a German vehicle registration code associated with the town of Alstätte.
  • B. AHX
    AHX is the ICAO airline designator assigned to Amakusa Airlines, a regional carrier based in Japan.
  • C. AHA
    AHA is the commonly used acronym for Atlantic Hockey, a collegiate ice hockey conference in the NCAA.
  • D. AHN
    AHN is the IATA airport code for Athens Ben Epps Airport, a regional airport serving Athens, Georgia, in the United States.
  • E. AHS
    AHS is the College of Applied Health Sciences at the University of Illinois Urbana–Champaign, focusing on education and research in health, rehabilitation, and human performance.
  • 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: AH1
Triple: [Asian Highway 1, networkCode, AH1]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AH1
Target entity description: 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.
  • A. AH
    AH is a German vehicle registration code associated with the town of Alstätte.
  • B. AHX
    AHX is the ICAO airline designator assigned to Amakusa Airlines, a regional carrier based in Japan.
  • C. AHA
    AHA is the commonly used acronym for Atlantic Hockey, a collegiate ice hockey conference in the NCAA.
  • D. AHN
    AHN is the IATA airport code for Athens Ben Epps Airport, a regional airport serving Athens, Georgia, in the United States.
  • E. AHS
    AHS is the College of Applied Health Sciences at the University of Illinois Urbana–Champaign, focusing on education and research in health, rehabilitation, and human performance.
  • 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_69ca828153f48190bdb27ac46f8e0745 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69caf96d1f088190a1d005ffb019afe9 completed March 30, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb147d965881908003551710a1bbff completed March 31, 2026, 12:25 a.m.
NEDg Description generation batch_69cb1732bb608190aa776f23f0dc6189 completed March 31, 2026, 12:37 a.m.
NED2 Entity disambiguation (via description) batch_69cb1a56d25881908b8413b82edf5508 completed March 31, 2026, 12:50 a.m.
Created at: March 30, 2026, 4:39 p.m.