Triple
T2575201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Consumer Confidence Reports |
E57758
|
entity |
| Predicate | mustDescribe |
P264
|
FINISHED |
| Object | sources of water such as rivers, lakes, reservoirs, or aquifers |
—
|
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: sources of water such as rivers, lakes, reservoirs, or aquifers | Statement: [Consumer Confidence Reports, mustDescribe, sources of water such as rivers, lakes, reservoirs, or aquifers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mustDescribe Context triple: [Consumer Confidence Reports, mustDescribe, sources of water such as rivers, lakes, reservoirs, or aquifers]
-
A.
mustDeclare
Indicates that one entity is required or obligated to formally state, disclose, or announce something to another entity or authority.
-
B.
describedIn
Indicates that information about an entity is contained or documented within a specified source, such as a text, document, or media.
-
C.
describes
chosen
Indicates that one entity provides an explanation, representation, or account of another entity or concept.
-
D.
mustMeet
Indicates that one entity is required or obligated to have a meeting or encounter with another entity.
-
E.
isDescriptive
Indicates that one entity provides a description or characterization of another entity.
- 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_69ab4a51410081908501dcf8bad9adc4 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd3a43f188190a3d7538bf7867466 |
completed | March 7, 2026, 7:28 a.m. |
| PD | Predicate disambiguation | batch_69abd0ce4dcc8190b17a65abf9bd1bb0 |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:48 p.m.