Triple
T10649961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palestina Canton |
E250937
|
entity |
| Predicate | borderingBodyOfWaterRegion |
P25960
|
FINISHED |
| Object | Pacific coastal region of Ecuador |
—
|
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: Pacific coastal region of Ecuador | Statement: [Palestina Canton, borderingBodyOfWaterRegion, Pacific coastal region of Ecuador]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: borderingBodyOfWaterRegion Context triple: [Palestina Canton, borderingBodyOfWaterRegion, Pacific coastal region of Ecuador]
-
A.
waterbodyRegion
Indicates that a water body is located within, associated with, or spans a particular geographic region.
-
B.
connectedBodyOfWater
Indicates that two geographic locations are linked by a continuous body of water through which water can flow between them.
-
C.
hasBodyOfWaterType
Indicates that a body of water is classified as being of a particular type or category (such as lake, river, ocean, etc.).
-
D.
adjacentToBodyOfWater
chosen
Indicates that one entity is directly next to or bordering a body of water, such as a lake, river, or ocean.
-
E.
bodyOfWater
Indicates that one entity is a body of water that is geographically or physically associated with 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_69d6aa5a4c4881908f39be6efe5981e5 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6dfe4b97081908815b77612222318 |
completed | April 8, 2026, 11:08 p.m. |
| PD | Predicate disambiguation | batch_69d6dd83b114819098e84dc658e82d7e |
completed | April 8, 2026, 10:58 p.m. |
Created at: April 8, 2026, 9:06 p.m.