Triple

T10327588
Position Surface form Disambiguated ID Type / Status
Subject Lanao del Norte E242798 entity
Predicate borders P224 FINISHED
Object Zamboanga del Sur E285344 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: Zamboanga del Sur | Statement: [Lanao del Norte, borders, Zamboanga del Sur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zamboanga del Sur
Context triple: [Lanao del Norte, borders, Zamboanga del Sur]
  • A. Zamboanga del Sur chosen
    Zamboanga del Sur is a province in the Philippines located in the Zamboanga Peninsula region on the island of Mindanao.
  • B. Zamboanga del Norte
    Zamboanga del Norte is a province in the Philippines known for its coastal landscapes, diverse cultures, and the city of Dipolog as its capital.
  • C. Zamboanga Sibugay
    Zamboanga Sibugay is a province in the southern Philippines located on the Zamboanga Peninsula in the island of Mindanao.
  • D. South Cotabato
    South Cotabato is a province in the southern Philippines on the island of Mindanao, known for its culturally diverse population, agricultural economy, and scenic highland landscapes.
  • E. North Cotabato
    North Cotabato is a landlocked province in the Soccsksargen region of Mindanao in the southern Philippines, known for its cultural diversity and agricultural economy.
  • 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_69d381af787481908bc401325c760a88 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d7cf21e08190bf605daeea0d9dcf completed April 7, 2026, 10:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69e8a6567f14819086134cdf3a13aa9b completed April 22, 2026, 10:43 a.m.
Created at: April 6, 2026, 11:51 a.m.