Triple

T7901160
Position Surface form Disambiguated ID Type / Status
Subject Central Sama E183454 entity
Predicate hasDialect P4251 FINISHED
Object Simunul Sama E700457 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: Simunul Sama | Statement: [Central Sama, hasDialect, Simunul Sama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Simunul Sama
Context triple: [Central Sama, hasDialect, Simunul Sama]
  • A. Sama chosen
    Sama is an Austronesian language spoken by the Sama-Bajau people of the southern Philippines and parts of Malaysia and Indonesia.
  • B. Samu
    Samu is a given name, commonly used as a short form or variant of Samuel in various cultures.
  • C. Sima Samar
    Sima Samar is an Afghan physician and human rights advocate renowned for her work promoting women's rights, education, and social justice in Afghanistan.
  • D. Samala
    Samala is a small settlement located in the Río Hurtado area of northern Chile, known for its rural Andean landscape and traditional agricultural lifestyle.
  • E. Susima
    Susima was an ancient Indian prince of the Maurya dynasty, known primarily as the elder son of Emperor Bindusara and rival claimant to the throne against his brother Ashoka.
  • 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_69ca828d13088190b222be7aa9f9315c completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a3f4c2c81909ae70b0acf4729be completed March 31, 2026, 3:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbdfd2dbbc8190b7b1e45b7f0b7515 completed March 31, 2026, 2:53 p.m.
Created at: March 30, 2026, 5:02 p.m.