Triple

T16044245
Position Surface form Disambiguated ID Type / Status
Subject Gash-Barka Region E389174 entity
Predicate hasSettlement P1068 FINISHED
Object Shambuko E429518 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: Shambuko | Statement: [Gash-Barka Region, hasSettlement, Shambuko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shambuko
Context triple: [Gash-Barka Region, hasSettlement, Shambuko]
  • A. Shambuko chosen
    Shambuko is a town and administrative center located in the Gash-Barka region of western Eritrea.
  • B. Khoni
    Khoni is a small town in western Georgia’s Imereti region, known for its historical churches and surrounding natural landscapes.
  • C. Teneguía
    Teneguía is a volcanic cone on the island of La Palma in Spain’s Canary Islands, known for its dramatic 1971 eruption.
  • D. Shabako
    Shabako is an alternative name for Shabaka, a Kushite pharaoh of Egypt’s Twenty-fifth Dynasty known for consolidating Nubian rule over Egypt.
  • E. Navakhai
    Navakhai is a traditional harvest festival celebrated by agrarian communities, particularly in parts of central and eastern India, to mark the consumption of the season’s newly harvested grain.
  • 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_69d86dae698881908327ef2d67706cb9 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1835d1dac819089abec9f0668ec78 completed April 17, 2026, 12:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffdbd95d508190a21db435fb69f8d7 completed May 10, 2026, 1:14 a.m.
Created at: April 10, 2026, 4:56 a.m.