Triple

T3102000
Position Surface form Disambiguated ID Type / Status
Subject Finnøy E64739 entity
Predicate hasIsland P970 FINISHED
Object Talge
Talge is an island that forms part of the Finnøy archipelago in Norway.
 E326703 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: Talge | Statement: [Finnøy, hasIsland, Talge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Talge
Context triple: [Finnøy, hasIsland, Talge]
  • A. Kelsale
    Kelsale is a small rural village and civil parish in Suffolk, England, known for its historic church and traditional countryside setting.
  • B. Liluah
    Liluah is a suburban locality in the Howrah district of West Bengal, India, known for its residential areas and railway facilities near Kolkata.
  • C. Tynaarlo
    Tynaarlo is a municipality in the northeastern Netherlands known for its rural character and location between the cities of Groningen and Assen.
  • D. Yeola
    Yeola is a town in the Nashik district of Maharashtra, India, known historically as the birthplace of the Indian freedom fighter Tatya Tope.
  • E. Thal
    Thal is a small scenic town in Pakistan’s Upper Dir District that serves as a gateway and base for travelers heading into the Kumrat Valley.
  • 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: Talge
Triple: [Finnøy, hasIsland, Talge]
Generated description
Talge is an island that forms part of the Finnøy archipelago in Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Talge
Target entity description: Talge is an island that forms part of the Finnøy archipelago in Norway.
  • A. Kelsale
    Kelsale is a small rural village and civil parish in Suffolk, England, known for its historic church and traditional countryside setting.
  • B. Liluah
    Liluah is a suburban locality in the Howrah district of West Bengal, India, known for its residential areas and railway facilities near Kolkata.
  • C. Tynaarlo
    Tynaarlo is a municipality in the northeastern Netherlands known for its rural character and location between the cities of Groningen and Assen.
  • D. Yeola
    Yeola is a town in the Nashik district of Maharashtra, India, known historically as the birthplace of the Indian freedom fighter Tatya Tope.
  • E. Thal
    Thal is a small scenic town in Pakistan’s Upper Dir District that serves as a gateway and base for travelers heading into the Kumrat Valley.
  • 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.