Triple

T1740285
Position Surface form Disambiguated ID Type / Status
Subject Atbara River E38216 entity
Predicate cityOnRiver P165 FINISHED
Object Atbara E38216 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: Atbara | Statement: [Atbara River, cityOnRiver, Atbara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Atbara
Context triple: [Atbara River, cityOnRiver, Atbara]
  • A. Atbara River chosen
    The Atbara River is a major tributary of the Nile in northeastern Africa, flowing from the Ethiopian Highlands northward through Sudan before joining the main Nile.
  • B. Anseba
    Anseba is a central region of Eritrea known for its diverse ethnic communities, agriculture, and the regional capital Keren.
  • C. Bekaa Valley
    The Bekaa Valley is a fertile and strategically important region in eastern Lebanon, known for its agriculture, wineries, and role as a key corridor and stronghold in various Middle Eastern conflicts.
  • D. Ovambo
    Ovambo is a Bantu language spoken primarily by the Ovambo people in northern Namibia and southern Angola.
  • E. Garki
    Garki is a prominent administrative and commercial district in Nigeria’s capital city, Abuja, housing numerous government offices, businesses, and residential areas.
  • 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_69a8862b01a48190ab47209063af82d9 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa63c5ab648190bceae2a19fa18e87 completed March 6, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada0dbc7c081909d637c5a482389ef completed March 8, 2026, 4:16 p.m.
Created at: March 4, 2026, 7:30 p.m.