Triple

T583501
Position Surface form Disambiguated ID Type / Status
Subject Mont Blanc Tunnel E15106 entity
Predicate safetyUpgrades P5357 FINISHED
Object implemented after 1999 fire 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: implemented after 1999 fire | Statement: [Mont Blanc Tunnel, safetyUpgrades, implemented after 1999 fire]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: safetyUpgrades
Context triple: [Mont Blanc Tunnel, safetyUpgrades, implemented after 1999 fire]
  • A. safety
    Indicates that an entity provides, ensures, or is associated with protection from harm, danger, or risk for another entity or within a given context.
  • B. securityFeature
    Indicates that an entity provides, embodies, or is associated with a mechanism or property intended to enhance safety, protection, or defense against threats or vulnerabilities.
  • C. hasUpgrade chosen
    Indicates that one entity possesses, includes, or is associated with an improved or enhanced version of another entity.
  • D. securityChangesAfter
    Indicates that the security status or configuration of one entity is modified as a consequence of a prior event or change in another entity.
  • E. securityArrangementsBy
    Indicates that one entity is responsible for providing, organizing, or overseeing security arrangements for another entity or situation.
  • 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_69a4935783b8819082b77726ec10cc42 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49b8745c88190af9672e5fe8396c3 completed March 1, 2026, 8:03 p.m.
PD Predicate disambiguation batch_69a494c9315c8190a773e8e00737d8a0 completed March 1, 2026, 7:34 p.m.
Created at: March 1, 2026, 7:33 p.m.