Triple

T16217234
Position Surface form Disambiguated ID Type / Status
Subject Datu of Mactan E393624 entity
Predicate hasRuler P5424 FINISHED
Object Cilapulapu E395087 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: Cilapulapu | Statement: [Datu of Mactan, hasRuler, Cilapulapu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cilapulapu
Context triple: [Datu of Mactan, hasRuler, Cilapulapu]
  • A. Cilapulapu chosen
    Cilapulapu is an alternative name for Lapu-Lapu, the Filipino chieftain famed for resisting Spanish colonization and killing Ferdinand Magellan in the Battle of Mactan.
  • B. Palipana
    Palipana is a reclusive, blind epigrapher and former academic in Michael Ondaatje’s novel "Anil’s Ghost," known for his controversial scholarship and enigmatic role in uncovering Sri Lanka’s buried histories.
  • C. Karapana
    Karapana is an indigenous Tucanoan language spoken by a small ethnic group in the northwestern Amazon region of Colombia and Brazil.
  • D. Palapye
    Palapye is a rapidly growing town in central Botswana that serves as a key commercial and transport hub along the country’s main north–south corridor.
  • E. Napareuli
    Napareuli is a Georgian wine appellation in the Kakheti region, known for producing high-quality wines, particularly from the Saperavi grape.
  • 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_69d87f1f5bd08190bd01cac0d5b9d2ef completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e227f76f748190831d230d32c18611 completed April 17, 2026, 12:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0017ab10a48190afa19e74c0059427 completed May 10, 2026, 5:29 a.m.
Created at: April 10, 2026, 5:03 a.m.