Triple
T24637389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morawka |
E609848
|
entity |
| Predicate | natureOfEntity |
P156869
|
FINISHED |
| Object | natural watercourse |
—
|
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: natural watercourse | Statement: [Morawka, natureOfEntity, natural watercourse]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: natureOfEntity Context triple: [Morawka, natureOfEntity, natural watercourse]
-
A.
typeOfBusinessOrganization
Indicates the specific kind or category of business organization that an entity belongs to (e.g., corporation, partnership, sole proprietorship).
-
B.
incorporationType
Indicates the legal form or category under which an entity is formally incorporated or registered as an organization.
-
C.
typeOfAutonomousEntity
Indicates that one entity is classified as a specific kind or category of autonomous entity in relation to another.
-
D.
legalPersonality
Indicates that an entity possesses recognized legal status, enabling it to hold rights, bear obligations, and act as a subject under the law.
-
E.
establishedEntity
Indicates that one entity formally founded, created, or set up another entity, such as an organization, institution, or system.
- 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_69e2c4d28f848190ac38c400060e943d |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f2be064ff88190b5d9e5ec75a41242 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6d0ab708190b2e3b94dd20ca76b |
completed | April 30, 2026, 12:48 a.m. |
| PDg | Predicate description generation | batch_69f2b8b8bc5881908df49c0b07110246 |
completed | April 30, 2026, 2:04 a.m. |
Created at: April 18, 2026, 2:33 a.m.