Triple

T20330341
Position Surface form Disambiguated ID Type / Status
Subject Stickney crater E492458 entity
Predicate wallDegradation P33346 FINISHED
Object significant due to subsequent impacts and landslides 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: significant due to subsequent impacts and landslides | Statement: [Stickney crater, wallDegradation, significant due to subsequent impacts and landslides]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: wallDegradation
Context triple: [Stickney crater, wallDegradation, significant due to subsequent impacts and landslides]
  • A. wallMaterial
    Indicates that one entity is the material from which a wall or walls of another entity are constructed.
  • B. wallCharacteristic
    Indicates that a specified characteristic or property is attributed to a wall.
  • C. degradationMechanism chosen
    Indicates the process or mechanism by which something deteriorates, breaks down, or loses its original quality or function over time.
  • D. wallTreatment
    Indicates how a wall is finished, covered, or treated in terms of its surface appearance or protective coating.
  • E. hasWeathering
    Indicates that one entity undergoes or exhibits the process of weathering caused by another entity or environmental factors.
  • F. None of above.

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_69e0b4a1a09881908d97270d6971a25a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e677e6f5d08190bedf376bbb999ebc completed April 20, 2026, 7 p.m.
PD Predicate disambiguation batch_69e5762655ac8190a8cc48a29fa2c0c4 completed April 20, 2026, 12:41 a.m.
Created at: April 16, 2026, 11:22 a.m.