Triple

T21042954
Position Surface form Disambiguated ID Type / Status
Subject Soppeng E518373 entity
Predicate traditionalTitleOfRuler P11127 FINISHED
Object Datu NE NERFINISHED

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: Datu | Statement: [Soppeng, traditionalTitleOfRuler, Datu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Datu
Context triple: [Soppeng, traditionalTitleOfRuler, Datu]
  • A. Datu chosen
    Datu is a traditional title for a chieftain or local ruler in pre-colonial Philippine societies.
  • B. Daatu
    Daatu is a Kannada novel by S. L. Bhyrappa that explores complex social and caste dynamics in Indian society.
  • C. Dati
    Dati is a surname most notably associated with Rachida Dati, a prominent French politician and former Minister of Justice.
  • D. Dataphernes
    Dataphernes was a Persian noble and military officer who played a role in the capture of the usurper Bessus during Alexander the Great’s campaign.
  • E. Mendata
    Mendata is a small rural municipality located in the Busturialdea comarca of the Basque Country in northern Spain.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b50438e08190917e2538bb8bc034 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fcf1950081908ff9fe8719e1e81b completed April 21, 2026, 4:28 a.m.
Created at: April 16, 2026, 2:17 p.m.