Triple

T14670539
Position Surface form Disambiguated ID Type / Status
Subject Ruse Province E344499 entity
Predicate hasTown P847 FINISHED
Object Byala E340235 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: Byala | Statement: [Ruse Province, hasTown, Byala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Byala
Context triple: [Ruse Province, hasTown, Byala]
  • A. Byala chosen
    Byala is a Bulgarian town situated along the Yantra River, known for its historic bridge and regional administrative role.
  • B. Barya
    Barya is an alternative name for the Nara people, an ethnic group primarily inhabiting parts of Eritrea.
  • C. Balya
    Balya is a small town and district in western Turkey known historically for its mining activities and rural character.
  • D. Gialova
    Gialova is a small coastal village in Messenia, Greece, known for its scenic bay, wetlands, and proximity to historical and natural attractions such as Navarino Bay and Voidokilia Beach.
  • E. Ballana
    Ballana is an important archaeological site in Lower Nubia known for its rich group of royal tumulus graves from the post-Meroitic period.
  • 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_69d822e283fc8190a0e4c235cf880052 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb54ef2908190b189ced65eec434a completed April 14, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69fde177ced48190a448cbee1f4c75bf completed May 8, 2026, 1:13 p.m.
Created at: April 10, 2026, 1:27 a.m.