Triple

T26932281
Position Surface form Disambiguated ID Type / Status
Subject Olingen E678263 entity
Predicate approximateRoadDistanceInKilometers P22795 FINISHED
Object 15 LITERAL FINISHED

How this triple was built (2 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: 15 | Statement: [Olingen, approximateRoadDistanceInKilometers, 15]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: approximateRoadDistanceInKilometers
Context triple: [Olingen, approximateRoadDistanceInKilometers, 15]
  • A. approximateRouteLength
    Indicates the estimated total distance or length of a given route, rather than its exact measured value.
  • B. approximateDistanceKm chosen
    Indicates the estimated distance between two entities measured in kilometers, typically with some degree of inaccuracy or approximation.
  • C. trailDistanceApprox
    Indicates that the distance along a trail between two locations is approximately a specified value, allowing for some margin of error.
  • D. depthApproxKm
    Indicates the approximate depth of something measured in kilometers.
  • E. approximateLengthInMiles
    Indicates the estimated distance or extent of something measured in miles.
  • F. None of above.

Provenance (3 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_69eeeb4cac908190a45956c2993d1cc2 completed April 27, 2026, 4:51 a.m.
NER Named-entity recognition batch_69f7675b12848190a3569cfda29c5b0e completed May 3, 2026, 3:18 p.m.
PD Predicate disambiguation batch_69f762f4b59481909f70074f11825bfb completed May 3, 2026, 3 p.m.
Created at: April 27, 2026, 6:13 a.m.