Triple

T21727037
Position Surface form Disambiguated ID Type / Status
Subject PDP-10 E536299 entity
Predicate notableModel P1503 FINISHED
Object KL10 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: KL10 | Statement: [PDP-10, notableModel, KL10]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KL10
Context triple: [PDP-10, notableModel, KL10]
  • A. KL10 chosen
    KL10 is a 36-bit mainframe CPU model developed by Digital Equipment Corporation for high-end DECsystem-10 and DECSYSTEM-20 systems.
  • B. KLAA
    KLAA is the ICAO airport code for Lamar Municipal Airport in Lamar, Colorado, United States.
  • C. KLu
    KLu is the commonly used abbreviation for the Royal Netherlands Air Force, the aerial warfare branch of the Dutch armed forces.
  • D. KLAC
    KLAC is a Los Angeles-based sports radio station best known for broadcasting Los Angeles Lakers games and other local sports coverage.
  • E. K-10
    K-10 is a state highway in Kansas that serves as a major east–west commuter and connector route in the Kansas City metropolitan area.
  • 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_69e0c46d3284819099a4f9d5a704eb95 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69efd973ac648190bb09e20ac1be2d9b completed April 27, 2026, 9:47 p.m.
Created at: April 16, 2026, 6:48 p.m.