Triple

T11851889
Position Surface form Disambiguated ID Type / Status
Subject Midsayap E281926 entity
Predicate borderedBy P224 FINISHED
Object Libungan E281936 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: Libungan | Statement: [Midsayap, borderedBy, Libungan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Libungan
Context triple: [Midsayap, borderedBy, Libungan]
  • A. Libungan chosen
    Libungan is a municipality in the province of North Cotabato in the Philippines, known for its agricultural economy and rural communities.
  • B. Kabale
    Kabale is a town in southwestern Uganda that serves as a key regional center and gateway to nearby attractions such as Bwindi Impenetrable National Park.
  • C. Mabila
    Mabila is the fortified Native American town in present-day Alabama that was the site of a major 1540 battle between Hernando de Soto’s Spanish expedition and the forces of Chief Tuskaloosa.
  • D. Warji
    Warji is a Chadic language spoken primarily in northern Nigeria by the Warji people.
  • E. Kuinga
    Kuinga is an alternative name for the Kui people, an ethnic group known for their distinct language and cultural traditions in parts of Southeast Asia.
  • 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_69d6ab287ba48190a5178779fd19b9b7 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a696ee548190800d56c64c339b10 completed April 10, 2026, 7:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69f167c9d4e88190bfaadada0450e639 completed April 29, 2026, 2:07 a.m.
Created at: April 8, 2026, 9:43 p.m.