Triple

T13187207
Position Surface form Disambiguated ID Type / Status
Subject Nebit-Dag E313886 entity
Predicate alternativeName P39 FINISHED
Object Nebitdag E313886 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: Nebitdag | Statement: [Nebit-Dag, alternativeName, Nebitdag]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nebitdag
Context triple: [Nebit-Dag, alternativeName, Nebitdag]
  • A. Nebit-Dag chosen
    Nebit-Dag is the former name of Balkanabat, a city in western Turkmenistan known for its role in the country’s oil and gas industry.
  • B. The Nebit
    The Nebit is a notable hill located near the town of Alva in Clackmannanshire, Scotland, popular with local walkers and offering views over the surrounding area.
  • C. Nekede
    Nekede is a suburban community in Imo State, Nigeria, known for hosting the Federal Polytechnic Nekede and lying on the outskirts of the city of Owerri.
  • D. Nabitasan
    Nabitasan is a barangay (village-level administrative division) of the municipality of Oton in the province of Iloilo, Philippines.
  • E. Nebbi
    Nebbi is a town in northwestern Uganda that serves as an important local administrative and commercial center near the border with the Democratic Republic of the Congo.
  • 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_69d806ae1e08819090d95bfe1538cc17 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c4b663c8190b0b18f0785f7b57d completed April 10, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f5f7a304819081c4f51631948cbd completed May 3, 2026, 7:15 a.m.
Created at: April 9, 2026, 9:15 p.m.