Triple

T15969221
Position Surface form Disambiguated ID Type / Status
Subject EATCS International Symposium on Distributed Computing E387275 entity
Predicate shortName P43 FINISHED
Object DISC E467814 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: DISC | Statement: [EATCS International Symposium on Distributed Computing, shortName, DISC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DISC
Context triple: [EATCS International Symposium on Distributed Computing, shortName, DISC]
  • A. DISC chosen
    DISC is a leading international conference focused on research in distributed computing and related areas of computer science.
  • B. DISCA
    DISCA was the NASDAQ ticker symbol for Discovery, Inc., a major American media company known for its portfolio of nonfiction television networks such as Discovery Channel and Animal Planet.
  • C. DIS
    DIS is the station code assigned to MTR Disneyland Resort Station, the dedicated railway stop serving Hong Kong Disneyland.
  • D. DIS
    DIS is the stock ticker symbol for The Walt Disney Company, a major global entertainment and media conglomerate traded on the New York Stock Exchange.
  • E. Dis
    Dis is the fortified infernal city in Dante Alighieri’s "Inferno," marking the deeper, more grievous circles of Hell.
  • 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_69d86da94ccc819083d187f5dc6a123e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1572847f08190830e30125e829766 completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe88fa308190942d37cf67458396 completed May 9, 2026, 11:08 p.m.
Created at: April 10, 2026, 4:54 a.m.