Triple

T14000162
Position Surface form Disambiguated ID Type / Status
Subject Maharlika Highway E336799 entity
Predicate abbreviation P43 FINISHED
Object AH26 E935533 NE FINISHED

How this triple was built (2 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: AH26 | Statement: [Maharlika Highway, abbreviation, AH26]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AH26
Context triple: [Maharlika Highway, abbreviation, AH26]
  • A. AH26 chosen
    AH26 is a major route of the Asian Highway Network that runs through the Philippines, including the South Luzon Expressway segment.
  • B. 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.
  • C. AHX
    AHX is the ICAO airline designator assigned to Amakusa Airlines, a regional carrier based in Japan.
  • D. AH
    AH is the vehicle registration code assigned to the Ahal Region in Turkmenistan.
  • E. AH
    AH is a German vehicle registration code associated with the town of Alstätte.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d81c645c5c8190b1fd16a285a1b78a completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2eb81b208190a961e49a02fa4140 completed April 14, 2026, 12:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbac9f1f6c8190af7ddac920661bd5 completed May 6, 2026, 9:03 p.m.
Created at: April 9, 2026, 10:19 p.m.