Triple

T11061622
Position Surface form Disambiguated ID Type / Status
Subject Biliran E261520 entity
Predicate hasMunicipality P847 FINISHED
Object Caibiran E342593 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: Caibiran | Statement: [Biliran, hasMunicipality, Caibiran]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Caibiran
Context triple: [Biliran, hasMunicipality, Caibiran]
  • A. Caibiran chosen
    Caibiran is a coastal municipality on Biliran Island in the Eastern Visayas region of the Philippines, known for its natural springs and rural landscape.
  • B. Cahitan
    Cahitan is a branch of the Uto-Aztecan language family that includes closely related indigenous languages once spoken in northwestern Mexico, notably by the Yaqui and Mayo peoples.
  • C. Caibarién
    Caibarién is a coastal town and municipality in central Cuba known historically for its fishing industry and nearby keys.
  • D. Tayasal
    Tayasal was a major Itza Maya city in present-day Guatemala that served as one of the last independent Maya strongholds before Spanish conquest.
  • E. Comala
    Comala is the haunting, ghostly Mexican town that serves as the central setting of Juan Rulfo’s novel "Pedro Páramo."
  • 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_69d6aa98650481908609c7c56bfa7902 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d798ea834c819099401e69f995c59f completed April 9, 2026, 12:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3e75b90ec8190b1a799e0183c6784 completed April 18, 2026, 8:19 p.m.
Created at: April 8, 2026, 9:26 p.m.