Triple

T17499040
Position Surface form Disambiguated ID Type / Status
Subject Splunk E426145 entity
Predicate tickerSymbol P1447 FINISHED
Object SPLK NE NERFINISHED

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: SPLK | Statement: [Splunk, tickerSymbol, SPLK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SPLK
Context triple: [Splunk, tickerSymbol, SPLK]
  • A. Splunk chosen
    Splunk is a data analytics platform that specializes in collecting, indexing, and analyzing machine-generated data for monitoring, security, and operational intelligence.
  • B. SPL
    SPL is the commonly used abbreviation for the Scottish Premier League, the former top professional football division in Scotland.
  • C. SPL
    SPL is a research laboratory focused on developing and testing advanced space propulsion technologies.
  • D. SPLS
    SPLS is the former NASDAQ stock ticker symbol for Staples Inc., a major American office supplies retail company.
  • E. SPLA
    The SPLA (Sudan People’s Liberation Army) is a former rebel movement turned political-military organization that fought in Sudan’s civil wars and later became the national army of the newly independent South Sudan.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889dd9164819087b1dc3c9240c870 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4521028048190aa7c4023a72a12f4 completed April 19, 2026, 3:54 a.m.
Created at: April 10, 2026, 5:48 a.m.