Triple
T588362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orinoco River |
E17209
|
entity |
| Predicate | hasDeltaType |
P15959
|
FINISHED |
| Object | inland alluvial delta |
—
|
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: inland alluvial delta | Statement: [Orinoco River, hasDeltaType, inland alluvial delta]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDeltaType Context triple: [Orinoco River, hasDeltaType, inland alluvial delta]
-
A.
hasDelta
Indicates that there is a change, difference, or deviation between two related states, values, or versions of something.
-
B.
formsDeltaAt
Indicates that one entity creates or gives rise to a change, difference, or deviation (a “delta”) in another entity at a specific point or context.
-
C.
formsDeltaWith
Indicates that one entity combines or interacts with another to produce a change or difference (a “delta”) between states, values, or conditions.
-
D.
hasDivergence
Indicates that there is a difference, deviation, or separation between two otherwise related entities, states, or paths.
-
E.
hasDerivative
Indicates that one entity is derived, obtained, or produced from another through some transformation, process, or modification.
- 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_69a49379d09c8190ac7e00b24e2810b1 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49b9d1e68819096a9b5e7b2e83d6e |
completed | March 1, 2026, 8:03 p.m. |
| PD | Predicate disambiguation | batch_69a494ca68448190a516b9c3525d8916 |
completed | March 1, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69a4985ada988190aaea628a9b55bca4 |
completed | March 1, 2026, 7:49 p.m. |
Created at: March 1, 2026, 7:33 p.m.