Triple

T15504848
Position Surface form Disambiguated ID Type / Status
Subject Saint John Airport E379053 entity
Predicate timeZoneDST P109 FINISHED
Object ADT E281585 NE 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: ADT | Statement: [Saint John Airport, timeZoneDST, ADT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ADT
Context triple: [Saint John Airport, timeZoneDST, ADT]
  • A. ADT chosen
    ADT (Atlantic Daylight Time) is the daylight saving time zone used in parts of Atlantic Canada and the Caribbean, four hours behind Coordinated Universal Time (UTC−4).
  • B. Axiom security systems
    Axiom Security Systems is a company that provides advanced security and access control solutions for protecting buildings, assets, and people.
  • C. Verisure
    Verisure is a leading European provider of professionally monitored home and business security alarm systems.
  • D. APD
    APD is a German vehicle registration code assigned to the Weimarer Land district in the state of Thuringia.
  • E. ATN
    ATN most likely refers to Augmented Transition Network, a type of finite state machine used in computational linguistics and natural language processing for parsing sentences.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03fcd5d948190b25a67a72ef980e9 completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff366bd31c81909e21075b6b601448 completed May 9, 2026, 1:28 p.m.
Created at: April 10, 2026, 3:55 a.m.