Triple

T791330
Position Surface form Disambiguated ID Type / Status
Subject Beskid Sądecki E16920 entity
Predicate hasPeak P8205 FINISHED
Object Przehyba
Przehyba is a prominent mountain peak in southern Poland’s Beskid Sądecki range, popular for hiking, scenic views, and its forested landscapes.
E94354 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: Przehyba | Statement: [Beskid Sądecki, hasPeak, Przehyba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Przehyba
Context triple: [Beskid Sądecki, hasPeak, Przehyba]
  • A. Redłowo
    Redłowo is a coastal district of the Polish city of Gdynia, known for its residential character and proximity to the Baltic Sea.
  • B. Nowra
    Nowra is a regional town in New South Wales, Australia, situated on the Shoalhaven River and serving as a commercial and administrative centre for the surrounding South Coast area.
  • C. Pochutec
    Pochutec is an extinct Uto-Aztecan language once spoken in the Pochutla region of Oaxaca, Mexico.
  • D. Tiel
    Tiel is a historic Dutch city situated along the River Waal, known for its fruit cultivation and role as a regional trade center in the province of Gelderland.
  • E. Ciechocinek
    Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
  • 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: Przehyba
Triple: [Beskid Sądecki, hasPeak, Przehyba]
Generated description
Przehyba is a prominent mountain peak in southern Poland’s Beskid Sądecki range, popular for hiking, scenic views, and its forested landscapes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Przehyba
Target entity description: Przehyba is a prominent mountain peak in southern Poland’s Beskid Sądecki range, popular for hiking, scenic views, and its forested landscapes.
  • A. Redłowo
    Redłowo is a coastal district of the Polish city of Gdynia, known for its residential character and proximity to the Baltic Sea.
  • B. Nowra
    Nowra is a regional town in New South Wales, Australia, situated on the Shoalhaven River and serving as a commercial and administrative centre for the surrounding South Coast area.
  • C. Pochutec
    Pochutec is an extinct Uto-Aztecan language once spoken in the Pochutla region of Oaxaca, Mexico.
  • D. Tiel
    Tiel is a historic Dutch city situated along the River Waal, known for its fruit cultivation and role as a regional trade center in the province of Gelderland.
  • E. Ciechocinek
    Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
  • 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_69a4936cb7448190914f5fe4b8d81607 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a79754988190ab494b1c54d6a2a4 completed March 1, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69a67efd612481909580fbef3605dcbc completed March 3, 2026, 6:26 a.m.
NEDg Description generation batch_69a67f5a246481908bde953b245a6b5e completed March 3, 2026, 6:27 a.m.
NED2 Entity disambiguation (via description) batch_69a6808fe5748190b95959ee23ee6241 completed March 3, 2026, 6:32 a.m.
Created at: March 1, 2026, 7:38 p.m.