Triple

T5525201
Position Surface form Disambiguated ID Type / Status
Subject Colorado-Big Thompson Project E144905 entity
Predicate hasStorageCapacityApprox P21034 FINISHED
Object 700000 acre-feet 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: 700000 acre-feet | Statement: [Colorado-Big Thompson Project, hasStorageCapacityApprox, 700000 acre-feet]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasStorageCapacityApprox
Context triple: [Colorado-Big Thompson Project, hasStorageCapacityApprox, 700000 acre-feet]
  • A. storageCapacity
    Indicates the maximum amount of data or material that a storage entity can hold.
  • B. installedCapacity
    Indicates the maximum output or production capability that has been set up or built for a system, facility, or equipment, typically measured under specified conditions.
  • C. dataCapacityDigits
    Indicates the number of decimal digits used to represent or specify a data capacity value.
  • D. minStorageCapacity
    Indicates the minimum storage capacity required, allowed, or guaranteed in a given context or relationship.
  • E. approximateCapacity chosen
    Indicates that one entity has an estimated or rough capacity value relative to another or to a specified measure.
  • 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_69c008f873a481909b4d9f7e2db3c37d completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f874bd081909cccfc25767ee6fa completed March 22, 2026, 4:57 p.m.
PD Predicate disambiguation batch_69c01b0a06348190b39ac9fe80d2836a completed March 22, 2026, 4:38 p.m.
Created at: March 22, 2026, 3:34 p.m.