Triple

T34933266
Position Surface form Disambiguated ID Type / Status
Subject Emerson fault E1007499 entity
Predicate ruptureLengthDuring1992LandersEarthquake P54664 FINISHED
Object tens of kilometers 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: tens of kilometers | Statement: [Emerson fault, ruptureLengthDuring1992LandersEarthquake, tens of kilometers]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: ruptureLengthDuring1992LandersEarthquake
Context triple: [Emerson fault, ruptureLengthDuring1992LandersEarthquake, tens of kilometers]
  • A. seismicRuptureLength chosen
    Indicates the length of the fault segment that ruptures during a seismic event.
  • B. surfaceRupture
    Indicates that a geological fault movement has broken through to and displaced the Earth's surface.
  • C. rupturedFaultSystem
    Indicates that a seismic event has caused a fault system to break and slip along one or more of its segments.
  • D. earthquakeFault
    Indicates that one entity is a geological fault associated with, or responsible for, the occurrence of an earthquake affecting the other entity.
  • E. appliedElasticReboundTheoryTo
    Indicates that one entity used the elastic rebound theory as a framework or method to analyze, explain, or solve something involving another entity.
  • 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_69f76dc3d83881909d5c3c14455cfa2c completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f78710282c81909146dc0be91e983f completed May 3, 2026, 5:34 p.m.
PD Predicate disambiguation batch_69f784162134819098413482ef52042f completed May 3, 2026, 5:21 p.m.
Created at: May 3, 2026, 4 p.m.