Triple
T20596515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abiquiu Reservoir |
E506061
|
entity |
| Predicate | maxCapacity |
P14460
|
FINISHED |
| Object | over 1,200,000 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: over 1,200,000 acre-feet | Statement: [Abiquiu Reservoir, maxCapacity, over 1,200,000 acre-feet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maxCapacity Context triple: [Abiquiu Reservoir, maxCapacity, over 1,200,000 acre-feet]
-
A.
maximumCapacity
chosen
Indicates the greatest allowable or designed amount of something that an entity can hold, contain, or handle.
-
B.
totalCapacity
Indicates the maximum amount or volume that something can hold or accommodate in total.
-
C.
currentCapacity
Indicates the present amount of capacity an entity is using or able to provide at a given time.
-
D.
maxStackSize
Indicates the maximum number of identical items or elements that can be grouped or stacked together as a single unit.
-
E.
laterCapacity
Indicates that one entity’s capacity or capability occurs, becomes available, or is realized at a later time than another’s.
- 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_69e0b4ba6ae88190af871e1f9522c704 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6aa1bea1c81908b85f38b2a471285 |
completed | April 20, 2026, 10:35 p.m. |
| PD | Predicate disambiguation | batch_69e59fffe1748190825e4eaa90340631 |
completed | April 20, 2026, 3:39 a.m. |
Created at: April 16, 2026, 11:40 a.m.