Triple

T8971879
Position Surface form Disambiguated ID Type / Status
Subject College Green E214284 entity
Predicate historicalName P65 FINISHED
Object Hoggen Green
Hoggen Green is the former name of College Green, a historic public space in central Dublin, Ireland.
E770260 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: Hoggen Green | Statement: [College Green, historicalName, Hoggen Green]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hoggen Green
Context triple: [College Green, historicalName, Hoggen Green]
  • A. Bagshot Heath
    Bagshot Heath is an extensive area of heathland in Surrey, England, known for its open, sandy terrain, wildlife habitats, and use for military training and outdoor recreation.
  • B. Bashall Eaves
    Bashall Eaves is a small rural village in Lancashire, England, situated within the scenic Ribble Valley area.
  • C. Hatfield Heath
    Hatfield Heath is a village and civil parish in the Uttlesford district of Essex, England, known for its large village green and rural character.
  • D. Kelling Heath
    Kelling Heath is a large heathland and woodland area in North Norfolk, England, known for its rich wildlife, dark skies, and extensive walking and cycling trails.
  • E. Dumsey Meadow
    Dumsey Meadow is a riverside meadow and Site of Special Scientific Interest on the River Thames in Surrey, England, valued for its unimproved grassland and wildlife habitat.
  • 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: Hoggen Green
Triple: [College Green, historicalName, Hoggen Green]
Generated description
Hoggen Green is the former name of College Green, a historic public space in central Dublin, Ireland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hoggen Green
Target entity description: Hoggen Green is the former name of College Green, a historic public space in central Dublin, Ireland.
  • A. Bagshot Heath
    Bagshot Heath is an extensive area of heathland in Surrey, England, known for its open, sandy terrain, wildlife habitats, and use for military training and outdoor recreation.
  • B. Bashall Eaves
    Bashall Eaves is a small rural village in Lancashire, England, situated within the scenic Ribble Valley area.
  • C. Hatfield Heath
    Hatfield Heath is a village and civil parish in the Uttlesford district of Essex, England, known for its large village green and rural character.
  • D. Kelling Heath
    Kelling Heath is a large heathland and woodland area in North Norfolk, England, known for its rich wildlife, dark skies, and extensive walking and cycling trails.
  • E. Dumsey Meadow
    Dumsey Meadow is a riverside meadow and Site of Special Scientific Interest on the River Thames in Surrey, England, valued for its unimproved grassland and wildlife habitat.
  • 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_69ca839dbf608190a2f5990477115d29 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6780d45081909f2bc5295c8550f9 completed April 1, 2026, 12:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc9632afc8190a4dc14d33e8757ee completed April 3, 2026, 2:06 p.m.
NEDg Description generation batch_69cfcb178d488190ab8ea897f964c10a completed April 3, 2026, 2:13 p.m.
NED2 Entity disambiguation (via description) batch_69cfcc1bb3248190ac94ed37be2dcde4 completed April 3, 2026, 2:18 p.m.
Created at: March 30, 2026, 7:02 p.m.