Triple

T12777057
Position Surface form Disambiguated ID Type / Status
Subject Paktia Province E305404 entity
Predicate capital P234 FINISHED
Object Gardez E258256 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: Gardez | Statement: [Paktia Province, capital, Gardez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gardez
Context triple: [Paktia Province, capital, Gardez]
  • A. Gardez chosen
    Gardez is a city in eastern Afghanistan that serves as the capital of Paktia Province and an important regional administrative and commercial center.
  • B. Garde
    Garde is the surname of American stage, film, and radio actress Betty Garde, known for her character roles in mid-20th-century entertainment.
  • C. Guarda
    Guarda is a historic city in central Portugal known for being the country's highest-altitude city and for its well-preserved medieval architecture.
  • D. Guarda
    Guarda is a picturesque historic village in Switzerland’s Engadine valley, renowned for its well-preserved traditional houses and alpine scenery.
  • E. Guardea
    Guardea is a small Italian town and comune in the Umbria region, known for its medieval historic center and scenic position overlooking the Tiber Valley.
  • 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_69d7bdf2b43c819098ae5aa68e61ea58 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e595e008190b42dff3012d17d66 completed April 10, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f685013e0481908db09302a2ced207 completed May 2, 2026, 11:13 p.m.
Created at: April 9, 2026, 5:29 p.m.