Triple

T17046043
Position Surface form Disambiguated ID Type / Status
Subject Landsat 7 E413569 entity
Predicate scanLineCorrectorIssue P125632 FINISHED
Object causes data gaps in imagery LITERAL 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: causes data gaps in imagery | Statement: [Landsat 7, scanLineCorrectorIssue, causes data gaps in imagery]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: scanLineCorrectorIssue
Context triple: [Landsat 7, scanLineCorrectorIssue, causes data gaps in imagery]
  • A. aberrationCorrection
    Indicates the application or presence of a process that corrects optical or imaging aberrations in a system or setup.
  • B. lineCorridor
    Indicates that one entity is a corridor represented or approximated by a line, typically modeling a narrow passageway or path between areas.
  • C. requiresCorrection
    Indicates that something is identified as needing modification, adjustment, or fixing to correct an error or deficiency.
  • D. usesForwardErrorCorrection
    Indicates that one entity applies forward error correction techniques to detect and correct errors in data transmitted to or received from another entity.
  • E. lineReplaced
    Indicates that one line has been substituted or superseded by another line, typically in a versioning, editing, or modification context.
  • F. None of above. chosen

Provenance (4 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_69d886cd18288190b006abab23f811b7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3da9e3d8881909f197aba0e4c97e7 completed April 18, 2026, 7:25 p.m.
PD Predicate disambiguation batch_69e35d60a588819084f53ef9f8b2e7c0 completed April 18, 2026, 10:30 a.m.
PDg Predicate description generation batch_69e3753f93c88190808fec5692f66699 completed April 18, 2026, 12:12 p.m.
Created at: April 10, 2026, 5:33 a.m.