Triple

T11905279
Position Surface form Disambiguated ID Type / Status
Subject Biag ni Lam-ang E283256 entity
Predicate featuresCharacter P626 FINISHED
Object Lam-ang E953889 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: Lam-ang | Statement: [Biag ni Lam-ang, featuresCharacter, Lam-ang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lam-ang
Context triple: [Biag ni Lam-ang, featuresCharacter, Lam-ang]
  • A. Lam-ang chosen
    Lam-ang is the legendary epic hero of the Ilocano people in the Philippine narrative poem "Biag ni Lam-ang," known for his extraordinary feats from birth through adulthood.
  • B. Lamalera
    Lamalera is a traditional whaling village in Indonesia known for its centuries-old subsistence whale-hunting practices carried out using wooden boats and hand-thrown harpoons.
  • C. Lagonglong
    Lagonglong is a coastal municipality in the province of Misamis Oriental on the island of Mindanao in the Philippines.
  • D. Leuwiliang
    Leuwiliang is a district-level area in West Java, Indonesia, known as part of the greater Bogor region.
  • E. Nang Talung
    Nang Talung is a traditional Southern Thai shadow puppet theatre art form, featuring intricately carved leather puppets and storytelling accompanied by music and narration.
  • 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_69d6ab2c07e88190ba13b0d21fd6cf33 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8e525460c81909d855048d9c799bf completed April 10, 2026, 11:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69f44004b454819091b41bac99895106 completed May 1, 2026, 5:54 a.m.
Created at: April 8, 2026, 9:44 p.m.