Triple

T12963396
Position Surface form Disambiguated ID Type / Status
Subject Japan of Africa E321203 entity
Predicate appliedTo P1129 FINISHED
Object Aba E82542 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: Aba | Statement: [Japan of Africa, appliedTo, Aba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aba
Context triple: [Japan of Africa, appliedTo, Aba]
  • A. Aba chosen
    Aba is a major commercial and industrial city in southeastern Nigeria, known for its vibrant markets and manufacturing activities.
  • B. Aba
    Aba is a small town in central Hungary located within Fejér County, known for its rural character and agricultural surroundings.
  • C. Itabi
    Itabi is a small municipality in the Brazilian state of Sergipe, known for its rural character and location in the semi-arid interior region.
  • D. AbaBemba
    AbaBemba are a major Bantu ethnic group primarily found in northern Zambia, known for their rich cultural traditions, centralized chieftaincy, and historical Bemba Kingdom.
  • E. Abis
    Abis is a standardized GSM interface that connects a base transceiver station (BTS) to its base station controller (BSC) for managing radio resources and signaling.
  • 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_69d80763bd6c819094437da5b20b01d2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e30b7e88190ac07c91147b62d16 completed April 10, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6c0f4798c8190861638c699e98045 completed May 3, 2026, 3:28 a.m.
Created at: April 9, 2026, 8:24 p.m.