Triple

T32495715
Position Surface form Disambiguated ID Type / Status
Subject Echinus Geyser E830516 entity
Predicate hasSurfaceDeposits P167953 FINISHED
Object silica 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: silica | Statement: [Echinus Geyser, hasSurfaceDeposits, silica]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSurfaceDeposits
Context triple: [Echinus Geyser, hasSurfaceDeposits, silica]
  • A. surfaceDeposits chosen
    Indicates that one entity has material or residue present on the surface of another entity.
  • B. hasSurfaceComposition
    Indicates that one entity has a surface made up of, or characterized by, the material or composition specified by another entity.
  • C. hasSurfaceUse
    Indicates that something is used or intended to be used on a surface (e.g., applied to, covering, or interacting with a surface).
  • D. notableSurface
    Indicates that one entity is a surface or exterior of particular significance or prominence in relation to another entity.
  • E. hasSurfaceQuality
    Indicates that one entity possesses a particular characteristic or condition of its surface.
  • 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_69f349219cb8819087e120f509629c1b completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69ff0e9c75208190a4423261f00b79b3 completed May 9, 2026, 10:38 a.m.
PD Predicate disambiguation batch_69ff0e07f08481909c4ae322632a6bf0 completed May 9, 2026, 10:35 a.m.
Created at: May 1, 2026, 12:59 a.m.