Triple

T8851328
Position Surface form Disambiguated ID Type / Status
Subject Ga-Adangbe E210643 entity
Predicate settlementArea P82 FINISHED
Object Nungua E182925 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: Nungua | Statement: [Ga-Adangbe, settlementArea, Nungua]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nungua
Context triple: [Ga-Adangbe, settlementArea, Nungua]
  • A. Nungua chosen
    Nungua is a coastal town and suburb of Accra in southern Ghana, known for its fishing community and vibrant local culture.
  • B. Ruaraka
    Ruaraka is a mixed residential, industrial, and commercial suburb in northeastern Nairobi, Kenya, known for its breweries, factories, and proximity to major transport routes.
  • C. Lugazi
    Lugazi is a town in central Uganda known for its sugar plantations and location along the Kampala–Jinja highway.
  • D. Kalambo
    Kalambo is an agricultural research station site in the Lake Tanganyika region of Tanzania, known for supporting tropical crop and farming systems research.
  • E. Wainganga
    Wainganga is a major river in central India that flows through the states of Madhya Pradesh and Maharashtra before joining other rivers on its way to the Godavari basin.
  • 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_69ca838a424c8190b1ecac115c2927e7 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc60c2300c819097b1ca6ebe2f749a completed April 1, 2026, 12:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfa08315fc8190b901adfc76348e18 completed April 3, 2026, 11:12 a.m.
Created at: March 30, 2026, 6:49 p.m.