Triple

T1008038
Position Surface form Disambiguated ID Type / Status
Subject Japan Trench E21757 entity
Predicate seismicity P8807 FINISHED
Object high 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: high | Statement: [Japan Trench, seismicity, high]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: seismicity
Context triple: [Japan Trench, seismicity, high]
  • A. earthquakeSequence
    Indicates a relationship where multiple earthquakes are linked as part of the same temporal or causal sequence of seismic events.
  • B. tectonicActivityCharacteristic chosen
    Indicates a characteristic or property that describes the nature, intensity, or pattern of tectonic activity associated with something.
  • C. earthquakeMagnitude
    Indicates the measured strength or intensity of an earthquake, typically expressed on a standardized magnitude scale.
  • D. tectonicEvents
    Indicates the occurrence or involvement of entities in geological processes related to the movement and interaction of Earth’s tectonic plates, such as earthquakes, volcanic activity, or continental drift.
  • E. hasEarthquakes
    Indicates that the specified location or region experiences one or more earthquakes.
  • 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_69a493c53e648190ae8cb76c433fd9a7 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b7f4c66c8190b6098fb72c1465a3 completed March 1, 2026, 10:04 p.m.
PD Predicate disambiguation batch_69a4b7203124819091de68cba5f731c1 completed March 1, 2026, 10:01 p.m.
Created at: March 1, 2026, 7:41 p.m.