Triple

T10912722
Position Surface form Disambiguated ID Type / Status
Subject County Louth E257740 entity
Predicate hasSettlement P1068 FINISHED
Object Collon
Collon is a small village in County Louth, Ireland, known for its historic architecture and rural setting.
E894181 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: Collon | Statement: [County Louth, hasSettlement, Collon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Collon
Context triple: [County Louth, hasSettlement, Collon]
  • A. Collon
    Collon is a popular Japanese snack consisting of crispy rolled wafers filled with sweet cream, produced by the confectionery company Glico.
  • B. Culen
    Culen was a 10th-century King of Scots from the House of Alpin, known for his brief and turbulent reign marked by dynastic conflict.
  • C. Cornillon
    Cornillon is a commune-level town located in Haiti’s Ouest Department.
  • D. Colombelles
    Colombelles is a commune in the Calvados department of the Normandy region in northwestern France, situated near the city of Caen.
  • E. Deshays
    Deshays is a French surname most notably associated with the 18th-century painter Jean-Baptiste Deshays.
  • 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: Collon
Triple: [County Louth, hasSettlement, Collon]
Generated description
Collon is a small village in County Louth, Ireland, known for its historic architecture and rural setting.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Collon
Target entity description: Collon is a small village in County Louth, Ireland, known for its historic architecture and rural setting.
  • A. Collon
    Collon is a popular Japanese snack consisting of crispy rolled wafers filled with sweet cream, produced by the confectionery company Glico.
  • B. Culen
    Culen was a 10th-century King of Scots from the House of Alpin, known for his brief and turbulent reign marked by dynastic conflict.
  • C. Cornillon
    Cornillon is a commune-level town located in Haiti’s Ouest Department.
  • D. Colombelles
    Colombelles is a commune in the Calvados department of the Normandy region in northwestern France, situated near the city of Caen.
  • E. Deshays
    Deshays is a French surname most notably associated with the 18th-century painter Jean-Baptiste Deshays.
  • 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_69d6aa864ed88190818280ab6791d065 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7707310b0819092d0140acc3c64ba completed April 9, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e216da42a0819095def6a691abf107 completed April 17, 2026, 11:17 a.m.
NEDg Description generation batch_69e21d8952c881908a952de83754e049 completed April 17, 2026, 11:46 a.m.
NED2 Entity disambiguation (via description) batch_69e2247fbd348190bb0d221923dac892 completed April 17, 2026, 12:16 p.m.
Created at: April 8, 2026, 9:22 p.m.