Triple

T23160970
Position Surface form Disambiguated ID Type / Status
Subject Velence Mountains E578580 entity
Predicate nearbySettlement P350 FINISHED
Object Sukoró 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: Sukoró | Statement: [Velence Mountains, nearbySettlement, Sukoró]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sukoró
Context triple: [Velence Mountains, nearbySettlement, Sukoró]
  • A. Sukoró chosen
    Sukoró is a village in Hungary’s Fejér County, known as a lakeside resort and recreational area on the northern shore of Lake Velence.
  • B. Sipirok
    Sipirok is a town in North Sumatra, Indonesia, known as an administrative and cultural center of the South Tapanuli region.
  • C. Kertosono
    Kertosono is a town in East Java, Indonesia, known as a regional transport hub linking major cities and routes across the province.
  • D. Sawu
    Sawu is an Austronesian language spoken primarily on Savu (Sawu) Island in eastern Indonesia.
  • E. Sembrong
    Sembrong is a federal parliamentary constituency in the state of Johor, Malaysia.
  • 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_69e245fc75348190a0288401044c8af8 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18f006930819097aafef87405d737 completed April 29, 2026, 4:54 a.m.
Created at: April 17, 2026, 4:02 p.m.