Triple

T6041984
Position Surface form Disambiguated ID Type / Status
Subject Canadian Pacific Air Lines E134567 entity
Predicate ICAOcode P419 FINISHED
Object CDN E134565 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: CDN | Statement: [Canadian Pacific Air Lines, ICAOcode, CDN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CDN
Context triple: [Canadian Pacific Air Lines, ICAOcode, CDN]
  • A. CDN chosen
    CDN is the ICAO airline designator formerly assigned to Canadian Airlines, a major now-defunct Canadian carrier.
  • B. Cloud CDN
    Cloud CDN is Google Cloud’s content delivery network service that accelerates and secures the delivery of web and media content to users worldwide by caching it at edge locations.
  • C. Alibaba Cloud CDN
    Alibaba Cloud CDN is a content delivery network service that accelerates the distribution of web content globally by caching and delivering data from edge nodes closer to end users.
  • D. HCDN
    HCDN is the commonly used abbreviation for the Chamber of Deputies, the lower house of Argentina’s National Congress.
  • E. Content delivery network
    A content delivery network (CDN) is a geographically distributed system of servers that accelerates and optimizes the delivery of web content to users by serving it from locations closer to them.
  • 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_69c00875db5c819099dd5bb833ec43c2 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c056d11370819096ac35349bd91f4e completed March 22, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1139793708190b14c83d4197a33a0 completed March 23, 2026, 10:19 a.m.
Created at: March 22, 2026, 4:08 p.m.