Triple

T16307548
Position Surface form Disambiguated ID Type / Status
Subject Boulevard of Death E395959 entity
Predicate appliesToRoadType P122625 FINISHED
Object urban arterial road 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: urban arterial road | Statement: [Boulevard of Death, appliesToRoadType, urban arterial road]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: appliesToRoadType
Context triple: [Boulevard of Death, appliesToRoadType, urban arterial road]
  • A. appliesToRoad
    Indicates that something (such as a rule, condition, or attribute) is relevant or applicable specifically to a road.
  • B. hasRoadNetworkType
    Indicates the type or classification of road network associated with or present in an entity.
  • C. isRoadPass
    Indicates that a particular road or route is currently passable or open for travel.
  • D. hasAccessRoadType
    Indicates that an entity is connected to or served by a road of a specified access type (e.g., public, private, restricted).
  • E. hasRoadStandard
    Indicates that a road or roadway segment conforms to, or is governed by, a specific road design, construction, or operational standard.
  • F. None of above. chosen

Provenance (4 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_69d87f23bb088190a16fbb91a1957ea5 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e288d63b688190ad5ebc3fb5dd5b4c completed April 17, 2026, 7:24 p.m.
PD Predicate disambiguation batch_69e219fa5508819097e9d383348bf174 completed April 17, 2026, 11:31 a.m.
PDg Predicate description generation batch_69e21e56e0348190a3d9475360231a70 completed April 17, 2026, 11:49 a.m.
Created at: April 10, 2026, 5:06 a.m.