Triple

T11205004
Position Surface form Disambiguated ID Type / Status
Subject Harghita County E265136 entity
Predicate containsResort P25904 FINISHED
Object Borsec E911191 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: Borsec | Statement: [Harghita County, containsResort, Borsec]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Borsec
Context triple: [Harghita County, containsResort, Borsec]
  • A. Borsec chosen
    Borsec is a Romanian spa town in the Eastern Carpathians, renowned for its mineral springs and bottled mineral water.
  • B. Borsad
    Borsad is a town in the Indian state of Gujarat known for its agricultural markets and role as a local commercial center.
  • C. Slobozia
    Slobozia is a city in southeastern Romania that serves as the capital of Ialomița County and an important local administrative and economic center.
  • D. Beloslav
    Beloslav is a small industrial town in northeastern Bulgaria known for its glass production and proximity to the city of Varna.
  • E. Lazarevac
    Lazarevac is a suburban municipality of Belgrade in central Serbia, known for its coal mining industry and the Kolubara coal basin.
  • 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_69d6aa9eb9248190b20211772621b4bc completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8d355c481908fc3d555b596314d completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ad0984e08190af9c8263cc2a079d completed April 19, 2026, 10:23 a.m.
Created at: April 8, 2026, 9:30 p.m.