Triple

T6244011
Position Surface form Disambiguated ID Type / Status
Subject Kankanaey language E139670 entity
Predicate region P40 FINISHED
Object Abra E304062 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: Abra | Statement: [Kankanaey language, region, Abra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abra
Context triple: [Kankanaey language, region, Abra]
  • A. Abra chosen
    Abra is a landlocked province in the northern Philippines known for its mountainous terrain, indigenous cultures, and rich natural landscapes.
  • B. Abra
    Abra is a character in Antonio Vivaldi’s sacred oratorio "Juditha triumphans," serving as a companion and confidante to the heroine Juditha.
  • C. Abra Stone
    Abra Stone is a powerful young psychic (a "shiner") who plays a central role in Stephen King’s horror novel "Doctor Sleep," the sequel to "The Shining."
  • D. Squirtle
    Squirtle is a small, blue, turtle-like Water-type Pokémon known for withdrawing into its shell and attacking with powerful water-based moves.
  • E. Abra de Ilog
    Abra de Ilog is a coastal municipality in Occidental Mindoro, Philippines, known as a gateway between Mindoro Island and mainland Luzon via ferry connections.
  • 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_69c008b1c5088190ae6de2555fc05ad8 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0631b32308190a8211043d1caa6e6 completed March 22, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20e12fa248190ad9daaf9563d38c6 completed March 24, 2026, 4:07 a.m.
Created at: March 22, 2026, 4:23 p.m.