Triple

T11176018
Position Surface form Disambiguated ID Type / Status
Subject IRS-P4 E264413 entity
Predicate payload P12202 FINISHED
Object OCM E898969 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: OCM | Statement: [IRS-P4, payload, OCM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OCM
Context triple: [IRS-P4, payload, OCM]
  • A. OCM chosen
    OCM (Ocean Colour Monitor) is a satellite imaging sensor designed to measure ocean color and related parameters for monitoring marine ecosystems and coastal environments.
  • B. OCM
    OCM is the commonly used abbreviation for Osaka College of Music, a specialized higher education institution for music studies in Osaka, Japan.
  • C. OCS
    OCS (Online Charging System) is a real-time telecommunications billing platform that manages and rates service usage, often working with PCRF to enforce charging and policy decisions.
  • D. OCS
    OCS is a United States Marine Corps training program that evaluates and prepares prospective officers for commissioning.
  • E. OCS
    OCS (Original Chip Set) is the first-generation custom graphics and sound chipset used in early Commodore Amiga computers, providing advanced multimedia capabilities for its time.
  • 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_69d6aa9dafac8190bd90d2c74f661aa7 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8987e1081909b28a0bdb866beae completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4838f19388190af6fde7d4275ce2a completed April 19, 2026, 7:26 a.m.
Created at: April 8, 2026, 9:29 p.m.