Triple

T16632857
Position Surface form Disambiguated ID Type / Status
Subject Syunik Province E404118 entity
Predicate largestCity P235 FINISHED
Object Kapan E496099 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: Kapan | Statement: [Syunik Province, largestCity, Kapan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kapan
Context triple: [Syunik Province, largestCity, Kapan]
  • A. Kapan chosen
    Kapan is a town in southern Armenia that serves as an important regional center nestled in the Zangezur mountain range.
  • B. Kini
    Kini is a small coastal village and popular beach resort on the Greek island of Syros in the Cyclades.
  • C. Kapit
    Kapit is a remote riverside town and administrative center in Sarawak, Malaysia, known historically as a trading post accessible mainly by boat along the Rajang River.
  • D. Kupenite
    Kupenite is a group of rugged mountain peaks in Bulgaria’s Rila Mountains, popular with climbers and hikers for their steep rocky profiles and alpine scenery.
  • E. Kaje
    Kaje is an exonym used to refer to the Bajju people, an ethnic group primarily found in Kaduna State, Nigeria.
  • 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_69d883897eb481909eaaa088ba9918d9 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e378e7d4a48190a9b4a14ecbb2a14b completed April 18, 2026, 12:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a008a2b3a608190ad8d2b653cd8785d completed May 10, 2026, 1:37 p.m.
Created at: April 10, 2026, 5:17 a.m.