Triple

T25448145
Position Surface form Disambiguated ID Type / Status
Subject Lamb Pass E637695 entity
Predicate roadNumberOnFrenchSide P1864 FINISHED
Object Route Départementale D205T
Route Départementale D205T is a French departmental road that serves the Lamb Pass area, providing local access through the surrounding mountainous region.
 E1679439 NE FINISHED

How this triple was built (3 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: Route Départementale D205T | Statement: [Lamb Pass, roadNumberOnFrenchSide, Route Départementale D205T]
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: Route Départementale D205T
Triple: [Lamb Pass, roadNumberOnFrenchSide, Route Départementale D205T]
Generated description
Route Départementale D205T is a French departmental road that serves the Lamb Pass area, providing local access through the surrounding mountainous region.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: roadNumberOnFrenchSide
Context triple: [Lamb Pass, roadNumberOnFrenchSide, Route Départementale D205T]
  • A. isNumberedHighway
    Indicates that a roadway is officially designated and signed as a numbered highway within a road network.
  • B. borderTownOnFrenchSide
    Indicates that a town is located on the French side of a border shared with another country.
  • C. routeNumber chosen
    Indicates the specific identifying number assigned to a route within a transportation or delivery network.
  • D. roadNumberType
    Indicates the classification or type category assigned to a road’s identifying number (e.g., highway, route, local road).
  • E. infrastructureManagerFrance
    Indicates that an entity serves as the manager or operator responsible for infrastructure within France.
  • F. None of above.

Provenance (6 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_69e75db7c5048190b8da9cd7eeedb610 completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f5f70518e48190ae918ff33e342c82 completed May 2, 2026, 1:07 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1089acb4dc81908ce390c5eeea878e completed May 22, 2026, 4:51 p.m.
NEDg Description generation batch_6a108a66ebfc8190843d591e9ab47493 completed May 22, 2026, 4:55 p.m.
NED2 Entity disambiguation (via description) batch_6a108b245e20819097efa96e0a3d866d completed May 22, 2026, 4:58 p.m.
PD Predicate disambiguation batch_69f4806d93dc8190b9dff4c63186faff completed May 1, 2026, 10:29 a.m.
Created at: April 21, 2026, 2:02 p.m.