Triple
T24443711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orei Strait |
E616339
|
entity |
| Predicate | nearbyMainlandRegion |
P155635
|
FINISHED |
| Object | Magnesia |
—
|
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: Magnesia | Statement: [Orei Strait, nearbyMainlandRegion, Magnesia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearbyMainlandRegion Context triple: [Orei Strait, nearbyMainlandRegion, Magnesia]
-
A.
nearestMainlandProvince
chosen
Indicates the relationship where a given location or island is associated with the geographically closest province on the mainland.
-
B.
nearestMainlandPoint
Indicates the relationship where a location is associated with the closest point on the mainland to that location.
-
C.
nearbySettlementRegion
Indicates that a settlement is located close to or within the surrounding area of a specified region.
-
D.
nearestLandmass
Indicates that one landmass is the closest geographically to another specified point or landmass.
-
E.
locatedNearCountry
Indicates that one entity is geographically situated close to the borders or territory of a specified country.
- 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_69e2d7edca608190aafefc8877a1b4da |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f29851e6cc8190a8f160cbed4e9ab0 |
completed | April 29, 2026, 11:46 p.m. |
| PD | Predicate disambiguation | batch_69f287d3237c819099559c00f83131d8 |
completed | April 29, 2026, 10:36 p.m. |
Created at: April 18, 2026, 2:17 a.m.