Triple

T18758648
Position Surface form Disambiguated ID Type / Status
Subject Karakuş Tumulus E458713 entity
Predicate locatedNear P294 FINISHED
Object Kahta NE NERFINISHED

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: Kahta | Statement: [Karakuş Tumulus, locatedNear, Kahta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kahta
Context triple: [Karakuş Tumulus, locatedNear, Kahta]
  • A. Kahta chosen
    Kahta is a town in Turkey’s Adıyaman Province that serves as a common base for visitors exploring the ancient archaeological site of Mount Nemrut.
  • B. Vahto
    Vahto is a small village and former municipality in Southwest Finland, now part of the town of Rusko.
  • C. Kattavia
    Kattavia is a small traditional village located at the southern tip of the Greek island of Rhodes, known for its quiet atmosphere and proximity to popular windsurfing beaches.
  • D. Kohat
    Kohat is a historic city in northwestern Pakistan known for its strategic location, military cantonment, and role as a regional administrative and commercial center.
  • E. Kykula
    Kykula is a mountain peak located in the Kysucké Beskydy range in northern Slovakia, known for its forested slopes and hiking opportunities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d395dba0819087568404508590cb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e579f42d0881909bd9ca9c7916516a completed April 20, 2026, 12:57 a.m.
Created at: April 10, 2026, 11:52 a.m.