Triple

T1520961
Position Surface form Disambiguated ID Type / Status
Subject Xanana Gusmão E32225 entity
Predicate nickname P55 FINISHED
Object Xanana E32225 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: Xanana | Statement: [Xanana Gusmão, nickname, Xanana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Xanana
Context triple: [Xanana Gusmão, nickname, Xanana]
  • A. Xanana chosen
    Xanana is the widely used nickname of Xanana Gusmão, the former resistance leader and first president of an independent Timor-Leste.
  • B. Moro
    The Moro are a collective term for several Muslim ethnolinguistic groups in the southern Philippines, particularly in Mindanao and the Sulu Archipelago, with a distinct history, culture, and struggle for self-determination.
  • C. Bauta
    Bauta is a municipality in western Cuba known for its proximity to Havana and its mix of rural communities and small urban centers.
  • D. Benito
    Benito is the given name of Benito Mussolini, the Italian dictator who founded and led the National Fascist Party and ruled Italy from the 1920s until 1943.
  • E. Mandla
    Mandla is a town and administrative district headquarters in the central Indian state of Madhya Pradesh, known for its proximity to the Narmada River and nearby wildlife and forested areas.
  • 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_69a885e9b0ac819093a9806ad0efc82c completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a907f071848190a5fb8fa1b97ef4de completed March 5, 2026, 4:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad294d01c48190bb2f49ad4f1b0a1a completed March 8, 2026, 7:46 a.m.
Created at: March 4, 2026, 7:26 p.m.