Triple

T12034075
Position Surface form Disambiguated ID Type / Status
Subject Imereti E286488 entity
Predicate containsCity P294 FINISHED
Object Sachkhere E97000 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: Sachkhere | Statement: [Imereti, containsCity, Sachkhere]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sachkhere
Context triple: [Imereti, containsCity, Sachkhere]
  • A. Sachkhere chosen
    Sachkhere is a town in western Georgia known as a local administrative and economic center in the Imereti region.
  • B. Sakesar
    Sakesar is a prominent mountain peak in Pakistan’s Punjab region, known for its scenic views, cooler climate, and strategic location within the Salt Range.
  • C. Chamkoria
    Chamkoria is the former name of Borovets, one of Bulgaria’s oldest and most popular mountain ski resorts.
  • D. Kachhhera
    Kachhhera is a traditional cotton undergarment worn by Sikhs as one of the five articles of faith symbolizing modesty and self-discipline.
  • E. Surkhob
    Surkhob is the historical name of a major river in Central Asia that forms part of what is now known as the Vakhsh River in Tajikistan.
  • 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_69d6ab4669e48190b59246358b0383ab completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9040724ec8190808f334013ddc6d6 completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f49d6ec4b8819093ff50254a851444 completed May 1, 2026, 12:32 p.m.
Created at: April 8, 2026, 9:47 p.m.