Triple
T30272543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rawa |
E769842
|
entity |
| Predicate | hasFlowForm |
P174304
|
FINISHED |
| Object | flowing water |
—
|
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: flowing water | Statement: [Rawa, hasFlowForm, flowing water]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFlowForm Context triple: [Rawa, hasFlowForm, flowing water]
-
A.
hasForm
Indicates that one entity possesses, exhibits, or is characterized by a particular shape, structure, or configuration.
-
B.
hasOnlineForm
Indicates that an entity provides or is associated with a form that can be accessed and completed online.
-
C.
containsForm
Indicates that one entity includes or encapsulates another entity as a form, structure, or representation within it.
-
D.
hasFormed
Indicates that an entity has come together or been created into a particular structure, group, or configuration.
-
E.
hasDecisionForm
Indicates that an entity is associated with, or represented by, a particular decision document or formal decision record.
- F. None of above. chosen
Provenance (4 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_69f224856d9881908c7f0dd64f059672 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6bcc425588190afd0dceba43ed79f |
completed | May 3, 2026, 3:11 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6b1e6c8190adf9d6a257e0b744 |
completed | May 3, 2026, 3 a.m. |
| PDg | Predicate description generation | batch_69f6bbf5a8288190ae170bcbe8ab65cf |
completed | May 3, 2026, 3:07 a.m. |
Created at: April 29, 2026, 7:44 p.m.