Triple

T2373266
Position Surface form Disambiguated ID Type / Status
Subject Advanced Camera for Surveys E46136 entity
Predicate partiallyRestored P38760 FINISHED
Object May 2009 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: May 2009 | Statement: [Advanced Camera for Surveys, partiallyRestored, May 2009]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: partiallyRestored
Context triple: [Advanced Camera for Surveys, partiallyRestored, May 2009]
  • A. partiallyPreserved
    Indicates that the referenced entity or object is only incompletely intact, with some parts missing, damaged, or lost while others remain.
  • B. partiallyDestroyed
    Indicates that an entity has been damaged or ruined to a significant extent but not completely destroyed.
  • C. reopenedPartially
    Indicates that an entity that was previously closed or inactive has been opened again, but only to a limited or incomplete extent.
  • D. partiallyRecapturedBy
    Indicates that an entity that was previously captured or controlled has been regained only in part by another entity, not fully restored to its prior captured state.
  • E. restored
    Indicates that an entity has returned another entity to a previous or improved state, condition, or position after damage, loss, or alteration.
  • 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_69a88a145268819083e2736cb835c696 completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abca4d89248190be7d712d5fa8382b completed March 7, 2026, 6:48 a.m.
PD Predicate disambiguation batch_69abc59d82f08190b7c36982d1ae783d completed March 7, 2026, 6:28 a.m.
PDg Predicate description generation batch_69abca4c937c8190b4dfca716b868d4f completed March 7, 2026, 6:48 a.m.
Created at: March 4, 2026, 7:56 p.m.