Triple

T13600555
Position Surface form Disambiguated ID Type / Status
Subject Mathangi Arulpragasam E324929 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: [Mathangi Arulpragasam, notableWork, Galang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Galang
Context triple: [Mathangi Arulpragasam, 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. Letang
    Letang is the surname of Kris Letang, a professional ice hockey defenseman best known for his long career with the NHL’s Pittsburgh Penguins.
  • D. Malango
    Malango is an Oceanic language spoken in the Solomon Islands, closely related to and geographically adjacent to the Ghari language.
  • E. Mahinog
    Mahinog is a coastal municipality on Camiguin Island in the Philippines known for its rural communities and access to nearby islets and marine attractions.
  • 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb07ad3f48190a2173e42c5cfedb1 completed April 12, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76bcc1ed88190bbf6c83001703b84 completed May 3, 2026, 3:37 p.m.
Created at: April 9, 2026, 9:49 p.m.