Triple

T4873321
Position Surface form Disambiguated ID Type / Status
Subject Ghisonaccia E109138 entity
Predicate traversedBy P225 FINISHED
Object T10 road
The T10 road is a major coastal highway in Corsica, France, connecting several eastern towns and serving as a key north–south transport route on the island.
 E476706 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: T10 road | Statement: [Ghisonaccia, traversedBy, T10 road]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: T10 road
Context triple: [Ghisonaccia, traversedBy, T10 road]
  • A. A10 road
    The A10 road is a major north–south route in England that runs from London through Hertfordshire and beyond, connecting several towns and cities along its length.
  • B. N10 road
    The N10 road is a national secondary route in Ireland that connects the M9 motorway to the city of Kilkenny.
  • C. A1067 road
    The A1067 road is a primary route in Norfolk, England, linking the town of Fakenham with Norwich and serving as an important regional connector.
  • D. M10 highway
    The M10 highway is a major Russian federal road that connects Moscow and Saint Petersburg, passing through cities such as Tver.
  • E. A2100 road
    The A2100 road is a minor A-road in East Sussex, England, running near Battle and serving as a local connector route parallel to part of the A21.
  • 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: T10 road
Triple: [Ghisonaccia, traversedBy, T10 road]
Generated description
The T10 road is a major coastal highway in Corsica, France, connecting several eastern towns and serving as a key north–south transport route on the island.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: T10 road
Target entity description: The T10 road is a major coastal highway in Corsica, France, connecting several eastern towns and serving as a key north–south transport route on the island.
  • A. A10 road
    The A10 road is a major north–south route in England that runs from London through Hertfordshire and beyond, connecting several towns and cities along its length.
  • B. N10 road
    The N10 road is a national secondary route in Ireland that connects the M9 motorway to the city of Kilkenny.
  • C. A1067 road
    The A1067 road is a primary route in Norfolk, England, linking the town of Fakenham with Norwich and serving as an important regional connector.
  • D. M10 highway
    The M10 highway is a major Russian federal road that connects Moscow and Saint Petersburg, passing through cities such as Tver.
  • E. A2100 road
    The A2100 road is a minor A-road in East Sussex, England, running near Battle and serving as a local connector route parallel to part of the A21.
  • 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_69bd440d96a48190b0c87069adef2af1 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6d9fa0b08190ab1fc7ec395dca37 completed March 20, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69be67f5b51c8190a8114450084d2b13 completed March 21, 2026, 9:42 a.m.
NEDg Description generation batch_69be69ed67f4819094656680ac3a174a completed March 21, 2026, 9:50 a.m.
NED2 Entity disambiguation (via description) batch_69be6a368ca88190b57fdf7c8c9f4e60 completed March 21, 2026, 9:51 a.m.
Created at: March 20, 2026, 1:27 p.m.