Triple

T10182052
Position Surface form Disambiguated ID Type / Status
Subject Tolna County E236810 entity
Predicate hasMajorSettlement P316 FINISHED
Object Paks
Paks is a Hungarian town best known for hosting the country's only nuclear power plant, a key source of its electricity.
E845764 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: Paks | Statement: [Tolna County, hasMajorSettlement, Paks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paks
Context triple: [Tolna County, hasMajorSettlement, Paks]
  • A. Polyanka
    Polyanka is a Moscow Metro station on the Serpukhovsko–Timiryazevskaya Line, located near the city center and serving the surrounding Polyanka Street area.
  • B. Radak
    Radak, also known as Rabbi David Kimhi, was a prominent medieval Jewish biblical commentator, grammarian, and lexicographer whose works are central to traditional Jewish Bible study.
  • C. Patori
    Patori is a small town located in the Samastipur district of the Indian state of Bihar.
  • D. Karesz
    Karesz is a Hungarian diminutive form of the male given name Károly.
  • E. Kozelets
    Kozelets is an urban-type settlement in northern Ukraine, historically known as a local administrative and trading center.
  • 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: Paks
Triple: [Tolna County, hasMajorSettlement, Paks]
Generated description
Paks is a Hungarian town best known for hosting the country's only nuclear power plant, a key source of its electricity.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Paks
Target entity description: Paks is a Hungarian town best known for hosting the country's only nuclear power plant, a key source of its electricity.
  • A. Polyanka
    Polyanka is a Moscow Metro station on the Serpukhovsko–Timiryazevskaya Line, located near the city center and serving the surrounding Polyanka Street area.
  • B. Radak
    Radak, also known as Rabbi David Kimhi, was a prominent medieval Jewish biblical commentator, grammarian, and lexicographer whose works are central to traditional Jewish Bible study.
  • C. Patori
    Patori is a small town located in the Samastipur district of the Indian state of Bihar.
  • D. Karesz
    Karesz is a Hungarian diminutive form of the male given name Károly.
  • E. Kozelets
    Kozelets is an urban-type settlement in northern Ukraine, historically known as a local administrative and trading center.
  • 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_69ca84d7260c8190bfbec36762943f37 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cded32b91c8190b01ad37b2456080a completed April 2, 2026, 4:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69d3013f0c54819092ee9c2c46fdf69e completed April 6, 2026, 12:41 a.m.
NEDg Description generation batch_69d3028a4384819094a7daef7287e54f completed April 6, 2026, 12:47 a.m.
NED2 Entity disambiguation (via description) batch_69d302e9d2688190bc292f8f2287c458 completed April 6, 2026, 12:48 a.m.
Created at: March 30, 2026, 9:12 p.m.