Triple
T21365376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berryessa Creek |
E526895
|
entity |
| Predicate | isChannelizedIn |
P34520
|
FINISHED |
| Object | urban reaches of Milpitas |
—
|
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: urban reaches of Milpitas | Statement: [Berryessa Creek, isChannelizedIn, urban reaches of Milpitas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isChannelizedIn Context triple: [Berryessa Creek, isChannelizedIn, urban reaches of Milpitas]
-
A.
hasChannelizedSection
chosen
Indicates that a segment of a feature (such as a watercourse or flow path) has been modified or confined into an artificial or engineered channel.
-
B.
isSecondaryChannelOf
Indicates that one channel functions as an additional or subordinate channel associated with a primary channel.
-
C.
hasCanalOrChannel
Indicates that one entity possesses, contains, or is traversed by a canal or channel that serves as a conduit or passageway.
-
D.
hasChannel
Indicates that one entity possesses, provides, or is associated with a particular communication or distribution channel.
-
E.
hasChannelCoding
Indicates that an entity employs a specific channel coding scheme to protect data during transmission over a communication channel.
- 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_69e0b51d8a308190b09113b3b3f9bc15 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b06e1ba081908a96928a65da5fa2 |
completed | April 22, 2026, 11:26 a.m. |
| PD | Predicate disambiguation | batch_69e6162bbfc88190a3e75859941b2638 |
completed | April 20, 2026, 12:03 p.m. |
Created at: April 16, 2026, 5:09 p.m.