Triple

T13077666
Position Surface form Disambiguated ID Type / Status
Subject Lira E329618 entity
Predicate nearbyTown P3883 FINISHED
Object Apac E954651 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: Apac | Statement: [Lira, nearbyTown, Apac]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Apac
Context triple: [Lira, nearbyTown, Apac]
  • A. Apac District chosen
    Apac District is an administrative district in northern Uganda, known for its predominantly rural communities and agriculture-based economy.
  • B. Asinia
    Asinia was a Roman voting tribe (tribus) that formed part of the administrative and electoral organization of the Roman citizen body.
  • C. Planasia
    Planasia was a small island off the coast of Italy used by the Romans as a place of political exile.
  • D. Eastasia
    Eastasia is one of the three totalitarian superstates in George Orwell’s dystopian novel "Nineteen Eighty-Four," perpetually at war and shifting alliances with the others.
  • E. Asia-Pacific
    Asia-Pacific is a vast geopolitical and economic region encompassing East Asia, Southeast Asia, Oceania, and surrounding Pacific areas, known for its dynamic economies and strategic global importance.
  • 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_69d80771749c81909a6d9197b9504872 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d9811828448190ac6ddd3e9c221251 completed April 10, 2026, 11 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d60aaac48190b5b724a19cad5279 completed May 3, 2026, 4:58 a.m.
Created at: April 9, 2026, 9:01 p.m.