Triple
T3749661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Embera |
E81295
|
entity |
| Predicate | riverDependency |
P51098
|
FINISHED |
| Object | transportation |
—
|
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: transportation | Statement: [Embera, riverDependency, transportation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: riverDependency Context triple: [Embera, riverDependency, transportation]
-
A.
riverRelation
Indicates a spatial or geographic relationship between one river and another, such as confluence, branching, or relative positioning.
-
B.
drainsInto
Indicates that one entity serves as a source or conduit whose contents or flow are directed into another entity.
-
C.
riverManaged
Indicates that a river is subject to management, regulation, or oversight by a particular authority, organization, or system.
-
D.
isTributaryDamOf
Indicates that a dam is constructed on and regulates the flow of a tributary river or stream relative to a main watercourse.
-
E.
riverSystem
Indicates that one entity is a river system to which the other entity belongs or is a component (such as a tributary or segment).
- 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_69ad8b19b7b08190a6188804e99c53e9 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcb6d0ac4819092c9a41cc60f518d |
completed | March 8, 2026, 7:18 p.m. |
| PD | Predicate disambiguation | batch_69adc04adebc819088d7f36d0ac343a6 |
completed | March 8, 2026, 6:30 p.m. |
| PDg | Predicate description generation | batch_69adc1560c248190b07438d766880990 |
completed | March 8, 2026, 6:35 p.m. |
Created at: March 8, 2026, 3:35 p.m.