Triple

T9703631
Position Surface form Disambiguated ID Type / Status
Subject Pest County E234839 entity
Predicate hasSettlement P1068 FINISHED
Object Pécel
Pécel is a town in central Hungary that functions as a suburban settlement near Budapest within Pest County.
 E815469 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: Pécel | Statement: [Pest County, hasSettlement, Pécel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pécel
Context triple: [Pest County, hasSettlement, Pécel]
  • A. Pálava
    Pálava is a renowned wine-producing region in the Czech Republic, noted for its limestone hills and high-quality white wines, especially aromatic varieties.
  • B. Pece
    Pece is a South Slavic masculine given name commonly used as a diminutive form of Petar.
  • C. Pecile
    Pecile is a large colonnaded garden and pool complex within Hadrian’s Villa at Tivoli, designed as a central courtyard for leisure, reflection, and display of imperial grandeur.
  • D. Pećinci
    Pećinci is a municipality in the Srem District of the autonomous province of Vojvodina in northern Serbia, known for its agricultural economy and proximity to Belgrade.
  • E. Peci
    Peci is a traditional black cap widely worn in Indonesia and neighboring regions, symbolizing cultural identity, modesty, and often Islamic faith.
  • 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: Pécel
Triple: [Pest County, hasSettlement, Pécel]
Generated description
Pécel is a town in central Hungary that functions as a suburban settlement near Budapest within Pest County.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pécel
Target entity description: Pécel is a town in central Hungary that functions as a suburban settlement near Budapest within Pest County.
  • A. Pálava
    Pálava is a renowned wine-producing region in the Czech Republic, noted for its limestone hills and high-quality white wines, especially aromatic varieties.
  • B. Pece
    Pece is a South Slavic masculine given name commonly used as a diminutive form of Petar.
  • C. Pecile
    Pecile is a large colonnaded garden and pool complex within Hadrian’s Villa at Tivoli, designed as a central courtyard for leisure, reflection, and display of imperial grandeur.
  • D. Pećinci
    Pećinci is a municipality in the Srem District of the autonomous province of Vojvodina in northern Serbia, known for its agricultural economy and proximity to Belgrade.
  • E. Peci
    Peci is a traditional black cap widely worn in Indonesia and neighboring regions, symbolizing cultural identity, modesty, and often Islamic faith.
  • 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_69ca84cc78808190a56f3402b7c139a7 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9d73a0148190ad4178fd462cdd9c completed April 1, 2026, 10:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19132687c8190baf3a60af1b789a8 completed April 4, 2026, 10:31 p.m.
NEDg Description generation batch_69d193150c00819080ed0fbb050b60bf completed April 4, 2026, 10:39 p.m.
NED2 Entity disambiguation (via description) batch_69d19416efd48190865d0178e5e893fa completed April 4, 2026, 10:43 p.m.
Created at: March 30, 2026, 8:18 p.m.