Triple
T23986347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bois d'Arc Lake |
E604945
|
entity |
| Predicate | normalStorageCapacity |
P1931
|
FINISHED |
| Object | about 367,000 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: about 367,000 acre-feet | Statement: [Bois d'Arc Lake, normalStorageCapacity, about 367,000 acre-feet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: normalStorageCapacity Context triple: [Bois d'Arc Lake, normalStorageCapacity, about 367,000 acre-feet]
-
A.
storageCapacity
Indicates the maximum amount of data or material that a storage entity can hold.
-
B.
minStorageCapacity
Indicates the minimum storage capacity required, allowed, or guaranteed in a given context or relationship.
-
C.
typicalCapacity
chosen
Indicates the usual or standard amount, volume, or capability that something is designed or expected to hold, handle, or perform under normal conditions.
-
D.
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.
-
E.
dataCapacity
Indicates the maximum amount of data that something can store, handle, or transmit.
- 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_69e295463f7c8190b1c19dbd114641b9 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d2c1d4508190905a3eb2d98a248b |
completed | April 29, 2026, 9:43 a.m. |
| PD | Predicate disambiguation | batch_69f161578d54819084a8b35496299993 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9:36 p.m.