Triple

T15837802
Position Surface form Disambiguated ID Type / Status
Subject Spanyolit E384027 entity
Predicate usedIn P98 FINISHED
Object Balkans E4394 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: Balkans | Statement: [Spanyolit, usedIn, Balkans]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Balkans
Context triple: [Spanyolit, usedIn, Balkans]
  • A. Balkans chosen
    The Balkans is a historically and culturally diverse region in Southeast Europe known for its complex mix of ethnicities, religions, and languages and its pivotal role in European and Mediterranean history.
  • B. Balkan Region
    The Balkan Region is a western area of Turkmenistan known for its desert landscapes, Caspian Sea coastline, and significant oil and gas resources.
  • C. Western Balkans
    The Western Balkans is a geopolitical region in Southeast Europe that generally includes several non-EU countries of the former Yugoslavia along with Albania.
  • D. BALKAN
    BALKAN was the ICAO airline designator used for Balkan Bulgarian Airlines, the former national flag carrier of Bulgaria.
  • E. South Central Europe
    South Central Europe is a subregion of Europe generally encompassing countries in the central and southern part of the continent, often including states in the Balkans and surrounding areas.
  • 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_69d86da34c888190976e06c4019d415a completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e142e3d48c8190ad0d0af89d062101 completed April 16, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa13392c48190b03cbed9df5a32a6 completed May 9, 2026, 9:03 p.m.
Created at: April 10, 2026, 4:49 a.m.