Triple

T18929240
Position Surface form Disambiguated ID Type / Status
Subject Khulo cable car E463055 entity
Predicate connects P390 FINISHED
Object Khulo 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: Khulo | Statement: [Khulo cable car, connects, Khulo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khulo
Context triple: [Khulo cable car, connects, Khulo]
  • A. Khulo chosen
    Khulo is a small mountainous town and municipality in southwestern Georgia’s Adjara region, known for its scenic landscapes and traditional highland culture.
  • B. Thalochi
    Thalochi is an alternative name for Thali, a term commonly associated with traditional South Asian platter-style meals featuring a variety of dishes served together.
  • C. Mahlaing
    Mahlaing is a town located in central Myanmar’s Mandalay Region.
  • D. Raklungu
    Raklungu is an indigenous local language spoken on Atauro Island, near Timor-Leste.
  • E. Tlokwa
    Tlokwa is a Sotho–Tswana-speaking ethnic group in Southern Africa, historically organized into chiefdoms and known for its distinct cultural and linguistic identity within the broader Sotho–Tswana peoples.
  • 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_69d8dcfdbbb881909964fa5a75bd0b48 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c9bea84081908fbe657fb4657c0b completed April 20, 2026, 6:37 a.m.
Created at: April 10, 2026, 11:59 a.m.