Triple

T17053039
Position Surface form Disambiguated ID Type / Status
Subject Losser E413748 entity
Predicate hasHamlet P12354 FINISHED
Object Glane
Glane is a small hamlet in the municipality of Losser in the province of Overijssel in the eastern Netherlands.
E1248520 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: Glane | Statement: [Losser, hasHamlet, Glane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Glane
Context triple: [Losser, hasHamlet, Glane]
  • A. Glan
    Glan is a coastal municipality in the province of Sarangani on the island of Mindanao in the Philippines, known for its white-sand beaches and coconut-fringed shoreline.
  • B. Glais
    Glais is a village in the Swansea Valley in South Wales, known for its residential character and proximity to both Swansea and the surrounding countryside.
  • C. Glenaan
    Glenaan is one of the scenic Glens of Antrim in County Antrim, Northern Ireland, known for its rural landscapes and traditional Irish countryside character.
  • D. Rannes
    Rannes is a small rural locality in the Banana Shire region of Central Queensland, Australia, historically associated with agriculture and rail transport.
  • E. Glenaveril
    Glenaveril is a lesser-known narrative poem by Lord Lytton that reflects his characteristic blend of romantic storytelling and social commentary.
  • 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: Glane
Triple: [Losser, hasHamlet, Glane]
Generated description
Glane is a small hamlet in the municipality of Losser in the province of Overijssel in the eastern Netherlands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Glane
Target entity description: Glane is a small hamlet in the municipality of Losser in the province of Overijssel in the eastern Netherlands.
  • A. Glan
    Glan is a coastal municipality in the province of Sarangani on the island of Mindanao in the Philippines, known for its white-sand beaches and coconut-fringed shoreline.
  • B. Glais
    Glais is a village in the Swansea Valley in South Wales, known for its residential character and proximity to both Swansea and the surrounding countryside.
  • C. Glenaan
    Glenaan is one of the scenic Glens of Antrim in County Antrim, Northern Ireland, known for its rural landscapes and traditional Irish countryside character.
  • D. Rannes
    Rannes is a small rural locality in the Banana Shire region of Central Queensland, Australia, historically associated with agriculture and rail transport.
  • E. Glenaveril
    Glenaveril is a lesser-known narrative poem by Lord Lytton that reflects his characteristic blend of romantic storytelling and social commentary.
  • 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_69d886cde3d481908d4d01ba88ba7eb7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3daa491008190ad013ee37532aa51 completed April 18, 2026, 7:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012343eca0819086a07511c5d22878 completed May 11, 2026, 12:31 a.m.
NEDg Description generation batch_6a012585a1548190a112f55e2d84ccac completed May 11, 2026, 12:40 a.m.
NED2 Entity disambiguation (via description) batch_6a0126536c348190b9b2eadb4969f8c2 completed May 11, 2026, 12:44 a.m.
Created at: April 10, 2026, 5:34 a.m.