Triple
T24493011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morne Seychellois National Park |
E617699
|
entity |
| Predicate | overlooksCity |
P100951
|
FINISHED |
| Object | Victoria |
—
|
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: Victoria | Statement: [Morne Seychellois National Park, overlooksCity, Victoria]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: overlooksCity Context triple: [Morne Seychellois National Park, overlooksCity, Victoria]
-
A.
cityOverlooks
Indicates that a city has a direct visual view over or across a particular geographic feature, area, or landmark.
-
B.
overlooks
Indicates that one entity has a view toward or looks out over another entity, typically from a higher or adjacent position.
-
C.
coversCity
Indicates that one entity extends over, includes, or geographically encompasses the area of a specified city.
-
D.
cityView
chosen
Indicates that one entity offers a view of, or overlooks, a city.
-
E.
city2
Indicates a relationship where one entity is identified as a city associated with, located in, or otherwise linked to 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_69e2d7f4e6bc8190aec540ae3b9ed7f2 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2a9d912e88190bc39c05a9d7f407e |
completed | April 30, 2026, 1:01 a.m. |
| PD | Predicate disambiguation | batch_69f2a6a4580481908fddc385f5262f95 |
completed | April 30, 2026, 12:47 a.m. |
Created at: April 18, 2026, 2:22 a.m.