Triple

T10229716
Position Surface form Disambiguated ID Type / Status
Subject Kronoberg County E243306 entity
Predicate contains P35 FINISHED
Object Markaryd
Markaryd is a small locality and municipality in southern Sweden known for its forests, lakes, and rural character.
E851316 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: Markaryd | Statement: [Kronoberg County, contains, Markaryd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Markaryd
Context triple: [Kronoberg County, contains, Markaryd]
  • A. Murjan
    Murjan was a concubine in the Umayyad court of Córdoba and the mother of the Caliph Al-Hakam II.
  • B. Didgori
    Didgori is a historic site in eastern Georgia renowned as the location of the decisive 1121 battle where King David IV’s forces defeated the Seljuk Turks.
  • C. Nemyriv
    Nemyriv is a historic town in central Ukraine known for its Jewish heritage and role as a regional cultural and economic center.
  • D. Merkheuli
    Merkheuli is a village in Abkhazia, Georgia, historically notable as the birthplace of Soviet security chief Lavrentiy Beria.
  • E. Kamorta
    Kamorta is a significant inhabited island and settlement in India’s Nicobar archipelago, known for its strategic location and indigenous Nicobarese communities.
  • 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: Markaryd
Triple: [Kronoberg County, contains, Markaryd]
Generated description
Markaryd is a small locality and municipality in southern Sweden known for its forests, lakes, and rural character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Markaryd
Target entity description: Markaryd is a small locality and municipality in southern Sweden known for its forests, lakes, and rural character.
  • A. Murjan
    Murjan was a concubine in the Umayyad court of Córdoba and the mother of the Caliph Al-Hakam II.
  • B. Didgori
    Didgori is a historic site in eastern Georgia renowned as the location of the decisive 1121 battle where King David IV’s forces defeated the Seljuk Turks.
  • C. Nemyriv
    Nemyriv is a historic town in central Ukraine known for its Jewish heritage and role as a regional cultural and economic center.
  • D. Merkheuli
    Merkheuli is a village in Abkhazia, Georgia, historically notable as the birthplace of Soviet security chief Lavrentiy Beria.
  • E. Kamorta
    Kamorta is a significant inhabited island and settlement in India’s Nicobar archipelago, known for its strategic location and indigenous Nicobarese communities.
  • 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_69d381b0f97c819085c9b45799a5fb7c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d1fcb1d081908173033594a6bfc9 completed April 7, 2026, 9:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f73610fc8190965c4e45a9deeac6 completed April 9, 2026, 12:47 a.m.
NEDg Description generation batch_69d6fa2ea97081908395048218c0592b completed April 9, 2026, 1 a.m.
NED2 Entity disambiguation (via description) batch_69d6fcb5dc4c8190944a423a9d16a4b8 completed April 9, 2026, 1:11 a.m.
Created at: April 6, 2026, 11:19 a.m.