Triple

T14626491
Position Surface form Disambiguated ID Type / Status
Subject Susan Anspach E343361 entity
Predicate notableWork P4 FINISHED
Object Montenegro E804269 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: Montenegro | Statement: [Susan Anspach, notableWork, Montenegro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Montenegro
Context triple: [Susan Anspach, notableWork, Montenegro]
  • A. Montenegro
    Montenegro is a small Balkan country on the Adriatic Sea, known for its mountainous landscapes, medieval villages, and status as a relatively new independent state in Southeastern Europe.
  • B. Montenegro chosen
    Montenegro is a municipality in Colombia’s Quindío Department, known for its coffee culture and proximity to major attractions in the Coffee Cultural Landscape.
  • C. Montenegro and Serbia
    Montenegro and Serbia are two closely linked Balkan states that historically cooperated militarily and politically, including in alliances against the Ottoman Empire.
  • D. Kosovo
    Kosovo is a partially recognized Balkan state that declared independence from Serbia in 2008 and has a majority ethnic Albanian population.
  • E. Herzegovina
    Herzegovina is a mountainous historical region in the western Balkans that forms the southern part of Bosnia and Herzegovina, known for its diverse cultural heritage and Ottoman-era influences.
  • 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_69d822dffc3c8190aa173b90761bffda completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb46a4a9081908472b0a542028a7f completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda90a7f2881909a7744f1f4344173 completed May 8, 2026, 9:12 a.m.
Created at: April 10, 2026, 1:26 a.m.