Triple

T12861747
Position Surface form Disambiguated ID Type / Status
Subject Limanowa E307610 entity
Predicate hasHill P24292 FINISHED
Object Jabłoniec
Jabłoniec is a hill located near the town of Limanowa in southern Poland, known for its scenic views of the surrounding Beskid mountain ranges.
 E1290266 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: Jabłoniec | Statement: [Limanowa, hasHill, Jabłoniec]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jabłoniec
Context triple: [Limanowa, hasHill, Jabłoniec]
  • A. Lubliniec
    Lubliniec is a historic town in southern Poland’s Silesian Voivodeship, known for its medieval origins, regional cultural heritage, and surrounding forested landscapes.
  • B. Tarnobrzeg
    Tarnobrzeg is a city in southeastern Poland known historically for its sulfur mining industry and location along the Vistula River.
  • C. Bolesławiec
    Bolesławiec is a historic town in southwestern Poland renowned for its traditional hand-decorated pottery.
  • D. Dębica
    Dębica is a town in southeastern Poland known as the birthplace of renowned composer and conductor Krzysztof Penderecki.
  • E. Ciechanów
    Ciechanów is a historic town in east-central Poland, known as a regional center of the Mazovian area with a medieval castle and long-standing cultural traditions.
  • 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: Jabłoniec
Triple: [Limanowa, hasHill, Jabłoniec]
Generated description
Jabłoniec is a hill located near the town of Limanowa in southern Poland, known for its scenic views of the surrounding Beskid mountain ranges.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jabłoniec
Target entity description: Jabłoniec is a hill located near the town of Limanowa in southern Poland, known for its scenic views of the surrounding Beskid mountain ranges.
  • A. Lubliniec
    Lubliniec is a historic town in southern Poland’s Silesian Voivodeship, known for its medieval origins, regional cultural heritage, and surrounding forested landscapes.
  • B. Tarnobrzeg
    Tarnobrzeg is a city in southeastern Poland known historically for its sulfur mining industry and location along the Vistula River.
  • C. Bolesławiec
    Bolesławiec is a historic town in southwestern Poland renowned for its traditional hand-decorated pottery.
  • D. Dębica
    Dębica is a town in southeastern Poland known as the birthplace of renowned composer and conductor Krzysztof Penderecki.
  • E. Ciechanów
    Ciechanów is a historic town in east-central Poland, known as a regional center of the Mazovian area with a medieval castle and long-standing cultural traditions.
  • 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_69d7bdf5e7cc8190be357278bc5ba3bb completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9708ba74881909b16c1e2ef5115db completed April 10, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0306dc4d1481908bce52d757effc59 completed May 12, 2026, 10:54 a.m.
NEDg Description generation batch_6a03075d0df4819093e20f299f0824a8 completed May 12, 2026, 10:56 a.m.
NED2 Entity disambiguation (via description) batch_6a0307c1a95881909547178762490619 completed May 12, 2026, 10:58 a.m.
Created at: April 9, 2026, 5:37 p.m.