Triple
T7110549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Total Maximum Daily Loads program |
E165695
|
entity |
| Predicate | dataNeeds |
P18299
|
FINISHED |
| Object | water quality monitoring data |
—
|
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: water quality monitoring data | Statement: [Total Maximum Daily Loads program, dataNeeds, water quality monitoring data]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dataNeeds Context triple: [Total Maximum Daily Loads program, dataNeeds, water quality monitoring data]
-
A.
dataAcquisition
Indicates the process by which one entity obtains, collects, or retrieves data from another source or system.
-
B.
dataPortal
Indicates that an entity serves as or is associated with an online interface or gateway through which data can be accessed, managed, or distributed.
-
C.
requiresDataAvailability
chosen
Indicates that one entity’s operation, validity, or execution is contingent on the presence, accessibility, or readiness of specific data.
-
D.
dataUse
Indicates how data is intended to be accessed, processed, or applied within a particular context or activity.
-
E.
dataReturned
Indicates that some data has been sent back or provided as a result of a request, query, or operation.
- 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_69c6888120f081908f8f01b201dc4a4c |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e5be09d881909988b5382ffa20ed |
completed | March 27, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c4f9788190830288d00cc37026 |
completed | March 27, 2026, 8 p.m. |
Created at: March 27, 2026, 2:43 p.m.