Triple

T4703798
Position Surface form Disambiguated ID Type / Status
Subject Region XII E104339 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: [Region XII, hasMunicipality, M’lang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: M’lang
Context triple: [Region XII, 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. Sasamungga
    Sasamungga is a coastal village and local community on Choiseul Island in the Solomon Islands.
  • E. Tunggul Ametung
    Tunggul Ametung was a regional ruler in early 13th-century Java, best known from Javanese chronicles as the leader of Tumapel whose assassination enabled Ken Arok to rise to power and found the Singhasari kingdom.
  • 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_69bd43e9b88481908582103dcadff3d9 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd63d082088190b7fc61a487d7ef2f completed March 20, 2026, 3:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69be03d074348190a19092fa02a0bb39 completed March 21, 2026, 2:34 a.m.
Created at: March 20, 2026, 1:17 p.m.