Triple

T14497678
Position Surface form Disambiguated ID Type / Status
Subject Unzha River E359544 entity
Predicate passesNear P416 FINISHED
Object Sharya E287694 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: Sharya | Statement: [Unzha River, passesNear, Sharya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sharya
Context triple: [Unzha River, passesNear, Sharya]
  • A. Sharya chosen
    Sharya is a town in Kostroma Oblast, Russia, known as a regional railway junction and logging center.
  • B. Shara
    Shara is an ancient Mesopotamian deity, primarily known as the warrior god and tutelary divine figure associated with the city-state of Umma in Sumer.
  • C. Sahnaya
    Sahnaya is a town in southwestern Syria located near Damascus within the Rif Dimashq region.
  • D. Shira
    Shira is the eroded western volcanic cone and plateau of Mount Kilimanjaro, forming one of the mountain’s three main summits.
  • E. Shala
    Shala is a Mesopotamian goddess associated with weather and grain, best known as the wife of the storm god Adad (Ishkur).
  • 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_69d8279740308190af9df93a3af8592e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de9311cc748190880c784f173b7f2b completed April 14, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6d99a7948190a3ff01e7b74aaa1e completed May 8, 2026, 4:59 a.m.
Created at: April 10, 2026, 1:21 a.m.