Triple

T14090180
Position Surface form Disambiguated ID Type / Status
Subject Cotabato E339106 entity
Predicate hasMunicipality P847 FINISHED
Object M’lang E281928 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: M’lang | Statement: [Cotabato, hasMunicipality, M’lang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: M’lang
Context triple: [Cotabato, hasMunicipality, M’lang]
  • A. M’lang chosen
    M’lang is a landlocked agricultural municipality in the province of North Cotabato on the island of Mindanao in the Philippines.
  • B. Kusno
    Kusno was the birth name of Sukarno, the first President of Indonesia and a leading figure in the country’s independence movement.
  • C. Blitar
    Blitar is a city in East Java, Indonesia, best known as the hometown and final resting place of the country’s first president, Sukarno.
  • D. Kedayan
    The Kedayan are an indigenous Malay ethnic group primarily found in Brunei, Sabah (Malaysia), and parts of Kalimantan (Indonesia), traditionally known for agriculture and a distinct cultural identity closely linked to Bruneian Malay culture.
  • E. Melawi
    Melawi is a regency-level administrative area in the interior of West Kalimantan, Indonesia, known for its riverine landscapes and predominantly Dayak communities.
  • 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_69d81c687b0c819087fd9ed4198403f8 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5ee3213c8190af2853a2a5b302a2 completed April 14, 2026, 3:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd0a7aab88190949cf1fd8e11b050 completed May 7, 2026, 5:49 p.m.
Created at: April 9, 2026, 10:21 p.m.