Triple

T9655266
Position Surface form Disambiguated ID Type / Status
Subject Zacarias Gusmão E233433 entity
Predicate placeOfBirth P1 FINISHED
Object Laleia E174278 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: Laleia | Statement: [Zacarias Gusmão, placeOfBirth, Laleia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laleia
Context triple: [Zacarias Gusmão, placeOfBirth, Laleia]
  • A. Laleia chosen
    Laleia is a town in northern Timor-Leste known as the birthplace of independence leader and former president Xanana Gusmão.
  • B. Lenaia
    Lenaia was an ancient Athenian winter festival in honor of Dionysus, featuring dramatic competitions and celebrations of wine and fertility.
  • C. Lolei
    Lolei is an ancient temple in Cambodia’s Angkor region, known as one of the Roluos Group of early Khmer brick towers built during the late 9th century.
  • D. Loralai
    Loralai is a town and district in northern Balochistan, Pakistan, known historically as a regional administrative and trade center.
  • E. Lavia
    Lavia is a small municipality in southwestern Finland known for its rural landscapes and proximity to the town of Sastamala.
  • 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_69ca848c1ba88190b84b410cd14627fc completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9bdbdd948190a4545a5df0f7af77 completed April 1, 2026, 10:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69d190eec94c81909ede398926141f89 completed April 4, 2026, 10:30 p.m.
Created at: March 30, 2026, 8:13 p.m.