Triple

T19003906
Position Surface form Disambiguated ID Type / Status
Subject Basilan E465025 entity
Predicate hasMunicipality P847 FINISHED
Object Lantawan NE NERFINISHED

How this triple was built (3 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: Lantawan | Statement: [Basilan, hasMunicipality, Lantawan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lantawan
Context triple: [Basilan, hasMunicipality, Lantawan]
  • A. Baclayon
    Baclayon is a historic coastal municipality in the Philippines renowned for its centuries-old Spanish-era church and well-preserved heritage structures.
  • B. Tahuna
    Tahuna is the main town and administrative center of the Sangihe Islands in North Sulawesi, Indonesia.
  • C. Balamban
    Balamban is a coastal municipality in the province of Cebu in the Philippines, known for its shipbuilding industry and growing economic zone.
  • D. Tayug
    Tayug is a landlocked agricultural municipality in the province of Pangasinan in the Philippines, known for its rice farming and rural community life.
  • E. Cabatuan
    Cabatuan is a rural barangay of the municipality of Botolan in the province of Zambales, Philippines.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lantawan
Target entity description: Lantawan is a coastal municipality on the island province of Basilan in the southern Philippines, known for its predominantly rural communities and proximity to key maritime routes in the Sulu Archipelago.
  • A. Baclayon
    Baclayon is a historic coastal municipality in the Philippines renowned for its centuries-old Spanish-era church and well-preserved heritage structures.
  • B. Tahuna
    Tahuna is the main town and administrative center of the Sangihe Islands in North Sulawesi, Indonesia.
  • C. Balamban
    Balamban is a coastal municipality in the province of Cebu in the Philippines, known for its shipbuilding industry and growing economic zone.
  • D. Tayug
    Tayug is a landlocked agricultural municipality in the province of Pangasinan in the Philippines, known for its rice farming and rural community life.
  • E. Cabatuan
    Cabatuan is a rural barangay of the municipality of Botolan in the province of Zambales, Philippines.
  • F. None of above. chosen

Provenance (2 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_69d8dd01a56c81909694a128c66b21d7 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d6a3db9c8190a1bf0228e360a6e0 completed April 20, 2026, 7:32 a.m.
Created at: April 10, 2026, 12:01 p.m.