Triple

T16351600
Position Surface form Disambiguated ID Type / Status
Subject Tusheti E397072 entity
Predicate roadClosedReason P123077 FINISHED
Object heavy snow in winter 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: heavy snow in winter | Statement: [Tusheti, roadClosedReason, heavy snow in winter]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: roadClosedReason
Context triple: [Tusheti, roadClosedReason, heavy snow in winter]
  • A. closedToThroughTraffic
    Indicates that a route or area is not accessible for general passage and cannot be used as a through route for traffic.
  • B. closedToAllTraffic
    Indicates that the subject is not accessible or usable by any type of traffic.
  • C. railTrafficClosed
    Indicates that rail traffic on a specific track or route is currently stopped or unavailable for use.
  • D. closedToTrafficDuringRepairs
    Indicates that an entity (such as a road or route) is not accessible for traffic for the duration of repair or maintenance work.
  • E. closedToMotorTraffic
    Indicates that a route, road, or path is not accessible for use by motor vehicles.
  • 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_69d87f26864c819088365ca381a003c2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2facbf60c8190aa47d4c45ff59354 completed April 18, 2026, 3:30 a.m.
PD Predicate disambiguation batch_69e226f37ecc819082af58b29b4e39d1 completed April 17, 2026, 12:26 p.m.
PDg Predicate description generation batch_69e24555bb6c8190977cf5c5f9149056 completed April 17, 2026, 2:36 p.m.
Created at: April 10, 2026, 5:07 a.m.