Triple

T2638918
Position Surface form Disambiguated ID Type / Status
Subject Pirin Mountains E62816 entity
Predicate hasPeak P8205 FINISHED
Object Banski Suhodol
Banski Suhodol is a prominent high-altitude peak in Bulgaria’s Pirin mountain range, known for its rugged terrain and alpine scenery.
 E284302 NE FINISHED

How this triple was built (4 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: Banski Suhodol | Statement: [Pirin Mountains, hasPeak, Banski Suhodol]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Banski Suhodol
Context triple: [Pirin Mountains, hasPeak, Banski Suhodol]
  • A. Kuzminki
    Kuzminki is a Moscow Metro station on the Tagansko–Krasnopresnenskaya Line serving the Kuzminki District in southeastern Moscow.
  • B. Buksa
    Buksa is a Polish surname most notably borne by professional footballer Adam Buksa.
  • C. Svratka
    Svratka is a river in the Czech Republic that flows through the city of Brno and is a significant watercourse in the South Moravian region.
  • D. Neša
    Neša is the ancient name of the city of Kültepe, a major Bronze Age trading center and early Hittite capital in central Anatolia.
  • E. Tsitska
    Tsitska is a Georgian white grape variety from the Imereti region, known for producing fresh, high-acidity wines often used in both still and sparkling styles.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Banski Suhodol
Triple: [Pirin Mountains, hasPeak, Banski Suhodol]
Generated description
Banski Suhodol is a prominent high-altitude peak in Bulgaria’s Pirin mountain range, known for its rugged terrain and alpine scenery.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Banski Suhodol
Target entity description: Banski Suhodol is a prominent high-altitude peak in Bulgaria’s Pirin mountain range, known for its rugged terrain and alpine scenery.
  • A. Kuzminki
    Kuzminki is a Moscow Metro station on the Tagansko–Krasnopresnenskaya Line serving the Kuzminki District in southeastern Moscow.
  • B. Buksa
    Buksa is a Polish surname most notably borne by professional footballer Adam Buksa.
  • C. Svratka
    Svratka is a river in the Czech Republic that flows through the city of Brno and is a significant watercourse in the South Moravian region.
  • D. Neša
    Neša is the ancient name of the city of Kültepe, a major Bronze Age trading center and early Hittite capital in central Anatolia.
  • E. Tsitska
    Tsitska is a Georgian white grape variety from the Imereti region, known for producing fresh, high-acidity wines often used in both still and sparkling styles.
  • F. None of above. chosen

Provenance (5 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_69ab4c3f2dcc819082df80f5e032f690 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abd8e470ac8190bd0d6de6805afcd0 completed March 7, 2026, 7:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69af90b628748190bdbb23f1d85bc3fd completed March 10, 2026, 3:32 a.m.
NEDg Description generation batch_69af91c6de008190ad8fb3a3c06472cb completed March 10, 2026, 3:36 a.m.
NED2 Entity disambiguation (via description) batch_69af9253953c8190a8e18c92d66263cc completed March 10, 2026, 3:38 a.m.
Created at: March 6, 2026, 9:53 p.m.