Triple

T4764188
Position Surface form Disambiguated ID Type / Status
Subject County Kilkenny E105767 entity
Predicate hasMajorRoad P385 FINISHED
Object N10 road
The N10 road is a national secondary route in Ireland that connects the M9 motorway to the city of Kilkenny.
 E471411 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: N10 road | Statement: [County Kilkenny, hasMajorRoad, N10 road]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: N10 road
Context triple: [County Kilkenny, hasMajorRoad, N10 road]
  • A. N12 road
    The N12 road is a major French national highway in Brittany that links the city of Brest with other key urban centers in the region.
  • B. N13 road
    The N13 road is a major national highway in northwestern France that connects key towns in Normandy and serves as an important route between Caen and Cherbourg.
  • C. N6 road
    The N6 road is a major Belgian national highway that connects Brussels with the French border near Maubeuge, passing through towns such as Casteau and Mons.
  • D. N6 road
    The N6 road is a major French national highway that historically linked Paris to the southeastern regions of France, passing through cities such as Auxerre.
  • E. N15 road
    The N15 road is a major Dutch roadway in the port area of Rotterdam that connects key industrial zones and links to the national motorway network.
  • 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: N10 road
Triple: [County Kilkenny, hasMajorRoad, N10 road]
Generated description
The N10 road is a national secondary route in Ireland that connects the M9 motorway to the city of Kilkenny.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: N10 road
Target entity description: The N10 road is a national secondary route in Ireland that connects the M9 motorway to the city of Kilkenny.
  • A. N12 road
    The N12 road is a major French national highway in Brittany that links the city of Brest with other key urban centers in the region.
  • B. N13 road
    The N13 road is a major national highway in northwestern France that connects key towns in Normandy and serves as an important route between Caen and Cherbourg.
  • C. N6 road
    The N6 road is a major Belgian national highway that connects Brussels with the French border near Maubeuge, passing through towns such as Casteau and Mons.
  • D. N6 road
    The N6 road is a major French national highway that historically linked Paris to the southeastern regions of France, passing through cities such as Auxerre.
  • E. N15 road
    The N15 road is a major Dutch roadway in the port area of Rotterdam that connects key industrial zones and links to the national motorway network.
  • 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_69bd43f14cac819081c7c69803648211 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd65327af48190881c25763232c368 completed March 20, 2026, 3:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4d8b67248190b7b994f8b333f022 completed March 21, 2026, 7:49 a.m.
NEDg Description generation batch_69be4e9378f08190b9fb3745ff2ea964 completed March 21, 2026, 7:53 a.m.
NED2 Entity disambiguation (via description) batch_69be4ef501e081908a75547e9bb52c0c completed March 21, 2026, 7:55 a.m.
Created at: March 20, 2026, 1:21 p.m.