Triple

T14315513
Position Surface form Disambiguated ID Type / Status
Subject Abdju E354944 entity
Predicate region P40 FINISHED
Object Thinite nome E558120 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: Thinite nome | Statement: [Abdju, region, Thinite nome]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thinite nome
Context triple: [Abdju, region, Thinite nome]
  • A. Thinite nome chosen
    The Thinite nome was an ancient Egyptian administrative district centered around the city of Thinis, traditionally associated with the earliest dynasties and royal burials.
  • B. Thini
    Thini is a traditional Thakali village in Nepal’s Mustang region, known for its preserved culture, stone houses, and panoramic views of the Annapurna and Dhaulagiri ranges.
  • C. Namin
    Namin is a city in Iran known for its location in the mountainous, historically rich Ardabil region in the northwest of the country.
  • D. Ninmena
    Ninmena is a Mesopotamian goddess associated with birth and creation, often regarded as a daughter or aspect of the mother goddess Ninhursag.
  • E. Tineg
    Tineg is a remote, mountainous municipality in the province of Abra in the Philippines, known for its rugged terrain and largely rural, forested landscape.
  • 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_69d8278ed42c8190b9f882dcce611347 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8838e45c819080ee69dd39e3bd43 completed April 14, 2026, 6:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4687c6bc819088452892128c420e completed May 8, 2026, 2:12 a.m.
Created at: April 10, 2026, 1:12 a.m.