Triple

T14590965
Position Surface form Disambiguated ID Type / Status
Subject Kilwa District E342440 entity
Predicate regionCapital P16248 FINISHED
Object Lindi (city) E649662 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: Lindi (city) | Statement: [Kilwa District, regionCapital, Lindi (city)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lindi (city)
Context triple: [Kilwa District, regionCapital, Lindi (city)]
  • A. Lindi
    Lindi is a feminine given name, typically used as a variant or diminutive of names like Linda.
  • B. Lindi chosen
    Lindi is a coastal town in present-day Tanzania that historically served as an important port in the former German East Africa colony.
  • C. Lumbu
    Lumbu is a Bantu ethnic group and language of Central Africa, primarily found in Gabon and the Republic of the Congo, culturally and linguistically related to neighboring Punu people.
  • D. Lilangeni
    The lilangeni is the official monetary unit of Eswatini, subdivided into 100 cents and commonly used alongside the South African rand.
  • E. Lanseria
    Lanseria is a town in the northwestern part of Johannesburg, South Africa, known primarily for hosting the privately owned Lanseria International Airport.
  • 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_69d822ddc0f081909cd8163c7de298cd completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4249af08190962009741d1f7d41 completed April 14, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94c36bb881909af16aa1df1766f8 completed May 8, 2026, 7:46 a.m.
Created at: April 10, 2026, 1:24 a.m.