Triple

T14644354
Position Surface form Disambiguated ID Type / Status
Subject Malanje Province E343805 entity
Predicate largestCity P235 FINISHED
Object Malanje E1111507 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: Malanje | Statement: [Malanje Province, largestCity, Malanje]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malanje
Context triple: [Malanje Province, largestCity, Malanje]
  • A. Malanje chosen
    Malanje is a city in north-central Angola that serves as an important regional hub for administration, commerce, and transport.
  • B. Munja
    Munja, also known as Vakpati Munja, was a prominent 10th-century Paramara king of Malwa celebrated for his military campaigns, patronage of learning, and contributions to early medieval Indian culture.
  • C. Mandeali
    Mandeali is an Indo-Aryan language spoken primarily in the Mandi district of Himachal Pradesh in northern India.
  • D. Mbanderu
    Mbanderu is a subgroup of the Herero people with its own distinct dialect and cultural traditions, primarily found in Namibia and Botswana.
  • E. Malavi
    Malavi is an Indo-Aryan language spoken primarily in the Malwa region of central India, often considered a dialect of Rajasthani or Hindi.
  • 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_69d822e1a2cc81908e5bb93cf61ce3cc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4ea6d8481908e6331ca173c646b completed April 14, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fde170d4a0819087caeacf39f95954 completed May 8, 2026, 1:13 p.m.
Created at: April 10, 2026, 1:26 a.m.