Triple

T13774573
Position Surface form Disambiguated ID Type / Status
Subject Guiuan Church E330970 entity
Predicate locatedIn P40 FINISHED
Object Guiuan E330970 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: Guiuan | Statement: [Guiuan Church, locatedIn, Guiuan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guiuan
Context triple: [Guiuan Church, locatedIn, Guiuan]
  • A. Guiuan chosen
    Guiuan is a coastal municipality in the province of Eastern Samar in the Philippines, known for its historic church and exposure to powerful typhoons such as Super Typhoon Haiyan.
  • B. Guang Gonja
    Guang Gonja is an alternate name for the Gonja language, a Guang language spoken primarily in northern Ghana.
  • C. Wang Gi
    Wang Gi, better known as Emperor Gongmin of Goryeo, was a 14th-century Korean monarch noted for his efforts to reform government corruption and reduce Mongol influence over the kingdom.
  • D. Laizo Chin
    Laizo Chin is a dialect of the Falam Chin language spoken by the Chin people of northwestern Myanmar and neighboring regions.
  • E. Guan
    Guan is a common Chinese surname with historical roots and multiple romanized variants, including Kwan.
  • 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_69d81c583b0081909e408a17db517a21 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de023774b48190b19e43e87b94ba77 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7a86afd788190ab637044dd489a24 completed May 3, 2026, 7:56 p.m.
Created at: April 9, 2026, 10:10 p.m.