Triple

T14523528
Position Surface form Disambiguated ID Type / Status
Subject Mongu E340711 entity
Predicate roadConnectionTo P9041 FINISHED
Object Kalabo E877253 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: Kalabo | Statement: [Mongu, roadConnectionTo, Kalabo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kalabo
Context triple: [Mongu, roadConnectionTo, Kalabo]
  • A. Kalabo chosen
    Kalabo is a significant town in western Zambia’s Barotseland region, serving as a local administrative and commercial center near the Zambezi floodplains.
  • B. Kalabahi
    Kalabahi is the main town and administrative center on Alor Island in Indonesia’s East Nusa Tenggara province.
  • C. Barbalha
    Barbalha is a municipality in northeastern Brazil known for its traditional cultural festivals and location in the state of Ceará.
  • D. Lubina
    Lubina is a village and administrative part of the town of Kopřivnice in the Moravian-Silesian Region of the Czech Republic.
  • E. Laabi
    Laabi is a small village located in Harku Parish in northern Estonia.
  • 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_69d822dac79c8190a84a073f3cbaced5 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dea04f16f88190ba357b0f8021b46b completed April 14, 2026, 8:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a50324481909713bbf68295e839 completed May 8, 2026, 5:53 a.m.
Created at: April 10, 2026, 1:22 a.m.