Triple
T27411460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gurupura River |
E692160
|
entity |
| Predicate | hasConfluenceWithSea |
P155513
|
FINISHED |
| Object | Arabian Sea |
—
|
NE NERFINISHED |
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: Arabian Sea | Statement: [Gurupura River, hasConfluenceWithSea, Arabian Sea]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasConfluenceWithSea Context triple: [Gurupura River, hasConfluenceWithSea, Arabian Sea]
-
A.
hasNotableSea
Indicates that an entity is associated with or contains a sea that is considered notable or significant.
-
B.
hasDestinationSea
Indicates that something is directed or travels toward a sea as its endpoint or target location.
-
C.
touchesSea
Indicates that one entity is in direct physical contact with the sea or coastline of another entity.
-
D.
hasOceanTerminusIn
chosen
Indicates that something such as a river or waterway ends or flows into the specified ocean.
-
E.
hasMaritimeFeature
Indicates that one entity possesses, contains, or is characterized by a maritime-related feature such as a sea, coast, harbor, or other oceanic element.
- 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_69ef5205fc808190ad3efc5525b8e6d6 |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69fefb15220081908da36aac386fa582 |
completed | May 9, 2026, 9:15 a.m. |
| PD | Predicate disambiguation | batch_69fefa8e8ad48190a723fed81e9d64d0 |
completed | May 9, 2026, 9:12 a.m. |
Created at: April 27, 2026, 12:32 p.m.