Triple

T3075090
Position Surface form Disambiguated ID Type / Status
Subject M.I.A. E64116 entity
Predicate notableWork P4 FINISHED
Object Galang E157935 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: Galang | Statement: [M.I.A., notableWork, Galang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Galang
Context triple: [M.I.A., notableWork, Galang]
  • A. Galang chosen
    Galang is an island in Indonesia’s Riau Islands province, historically known for hosting a Vietnamese refugee camp during the late 20th century.
  • B. Sarangani
    Sarangani is a coastal province in the southern Philippines known for its rich marine biodiversity, tuna industry, and diverse indigenous cultures.
  • C. Kalamansig
    Kalamansig is a coastal municipality in the province of Sultan Kudarat in the Philippines, known for its fishing industry and diverse indigenous communities.
  • D. Jandali
    Jandali is an Arabic family name most notably associated with Abdulfattah Jandali, the biological father of Apple co-founder Steve Jobs.
  • E. Watugaluh
    Watugaluh was an important historical city in Java that served as the political and administrative center of the Medang 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_69ad857a8aec8190bfdfd9c14554ac5a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada150d8e08190bde5f68e800e8feb completed March 8, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1f886785c8190b0765730405c69ef completed March 11, 2026, 11:19 p.m.
Created at: March 8, 2026, 3:02 p.m.