Triple

T22055788
Position Surface form Disambiguated ID Type / Status
Subject Tagus–Segura Water Transfer E545006 entity
Predicate waterDiversionDirection P55194 FINISHED
Object from Tagus River to Segura River 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: from Tagus River to Segura River | Statement: [Tagus–Segura Water Transfer, waterDiversionDirection, from Tagus River to Segura River]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: waterDiversionDirection
Context triple: [Tagus–Segura Water Transfer, waterDiversionDirection, from Tagus River to Segura River]
  • A. waterDivertedFrom chosen
    Indicates that water is intentionally redirected or channeled away from one source, path, or location to another.
  • B. riverDivertedTo
    Indicates that the natural course of a river has been intentionally redirected from its original path to a new channel or destination.
  • C. waterwayDirection
    Indicates the directional flow or orientation of a waterway relative to a reference point or path.
  • D. waterDivertedThrough
    Indicates that the flow of water is intentionally redirected from its original course to pass through a specified structure, channel, or location.
  • E. drainageDirection
    Indicates the direction in which water or other fluids flow or are drained away from a given point or area.
  • 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_69e11e3377c48190890c17407b9527d6 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1285790948190b21abfb09abbb5e5 completed April 28, 2026, 9:36 p.m.
PD Predicate disambiguation batch_69e6f643ca74819083e8ab78e843f243 completed April 21, 2026, 4 a.m.
Created at: April 16, 2026, 8:26 p.m.