Triple

T5118731
Position Surface form Disambiguated ID Type / Status
Subject Hirshabelle E115403 entity
Predicate capital P234 FINISHED
Object Jowhar E69622 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: Jowhar | Statement: [Hirshabelle, capital, Jowhar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jowhar
Context triple: [Hirshabelle, capital, Jowhar]
  • A. Jowhar chosen
    Jowhar is a town in southern Somalia that serves as the capital of the Middle Shabelle region and an important agricultural and administrative center.
  • B. Bahraich
    Bahraich is a city in the Indian state of Uttar Pradesh, known for its location in the Terai region near the Nepal border and its historical and cultural significance.
  • C. Bakhah
    Bakhah is a village in Syria known as one of the few remaining communities where Western Neo-Aramaic is still actively spoken.
  • D. Dairut
    Dairut is a city in Upper Egypt known as an important urban and agricultural center within the Asyut region along the Nile.
  • E. Amdoun
    Amdoun is a small town in northwestern Tunisia, located within the Béja Governorate and known for its agricultural surroundings and proximity to the Khroumirie mountains.
  • 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_69bd4442ade0819087b9461f892b206b completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd77ce1ea48190b283cae7bb9b72eb completed March 20, 2026, 4:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69bec4a6a7988190b9beec3f0d9494d1 completed March 21, 2026, 4:17 p.m.
Created at: March 20, 2026, 1:42 p.m.