Triple

T3101993
Position Surface form Disambiguated ID Type / Status
Subject Finnøy E64739 entity
Predicate hasIsland P970 FINISHED
Object Talgje
Talgje is an island in Rogaland county, Norway, known for its historic church, fertile farmland, and scenic coastal landscape.
 E326698 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: Talgje | Statement: [Finnøy, hasIsland, Talgje]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Talgje
Context triple: [Finnøy, hasIsland, Talgje]
  • A. Ozem
    Ozem is a biblical figure mentioned in the Old Testament as one of Jesse’s sons and thus a brother of King David.
  • B. Thamerdal
    Thamerdal is a residential neighborhood within the Dutch town of Uithoorn in the province of North Holland.
  • C. Maleny
    Maleny is a scenic rural town in the Sunshine Coast hinterland of Queensland, Australia, known for its lush rolling hills, dairy farms, arts community, and panoramic views over the Glass House Mountains.
  • D. Giogha
    Giogha is the Scottish Gaelic name for the small Hebridean island of Gigha off the west coast of Kintyre in Scotland.
  • E. Eistau
    Eistau is a novel by Ilija Trojanow that explores themes of climate change, environmental destruction, and human responsibility through the story of a glaciologist witnessing the disappearance of the ice he studies.
  • 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: Talgje
Triple: [Finnøy, hasIsland, Talgje]
Generated description
Talgje is an island in Rogaland county, Norway, known for its historic church, fertile farmland, and scenic coastal landscape.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Talgje
Target entity description: Talgje is an island in Rogaland county, Norway, known for its historic church, fertile farmland, and scenic coastal landscape.
  • A. Ozem
    Ozem is a biblical figure mentioned in the Old Testament as one of Jesse’s sons and thus a brother of King David.
  • B. Thamerdal
    Thamerdal is a residential neighborhood within the Dutch town of Uithoorn in the province of North Holland.
  • C. Maleny
    Maleny is a scenic rural town in the Sunshine Coast hinterland of Queensland, Australia, known for its lush rolling hills, dairy farms, arts community, and panoramic views over the Glass House Mountains.
  • D. Giogha
    Giogha is the Scottish Gaelic name for the small Hebridean island of Gigha off the west coast of Kintyre in Scotland.
  • E. Eistau
    Eistau is a novel by Ilija Trojanow that explores themes of climate change, environmental destruction, and human responsibility through the story of a glaciologist witnessing the disappearance of the ice he studies.
  • 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_69ad857dc98481909e585dc3372e3ed5 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada26c76ec81908d11f82be573c518 completed March 8, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b203809fac81908047b1139b13cb04 completed March 12, 2026, 12:06 a.m.
NEDg Description generation batch_69b20532b7388190be5f7bcf48db6f45 completed March 12, 2026, 12:13 a.m.
NED2 Entity disambiguation (via description) batch_69b2058d7c4c8190a44fc8745df3b1b3 completed March 12, 2026, 12:15 a.m.
Created at: March 8, 2026, 3:03 p.m.