Triple
T8229330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dafni |
E192249
|
entity |
| Predicate | hasNearbyMonasteryLandingPoints |
P80970
|
FINISHED |
| Object | various coastal monasteries of Mount Athos |
—
|
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: various coastal monasteries of Mount Athos | Statement: [Dafni, hasNearbyMonasteryLandingPoints, various coastal monasteries of Mount Athos]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNearbyMonasteryLandingPoints Context triple: [Dafni, hasNearbyMonasteryLandingPoints, various coastal monasteries of Mount Athos]
-
A.
hasNearbyMonastery
Indicates that one entity is located close to or in the vicinity of a monastery.
-
B.
hasNearbyPilgrimageSite
Indicates that one entity is located close to a place used as a pilgrimage site for religious or spiritual journeys.
-
C.
containsMonastery
Indicates that one entity includes or encompasses a monastery within its boundaries or composition.
-
D.
hasNearbyBase
Indicates that one entity has a base or facility located in close physical proximity to another entity or location.
-
E.
hasNearbyTrailheadFor
Indicates that one location has a trailhead situated close enough to serve as a convenient access point for another location.
- 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_69ca82db5b90819085d1ad7c2e27bfcc |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7802417c81908837c31136c41a5c |
completed | March 31, 2026, 7:30 a.m. |
| PD | Predicate disambiguation | batch_69cb36b1dea0819091418072501e79c1 |
completed | March 31, 2026, 2:51 a.m. |
| PDg | Predicate description generation | batch_69cb3d6c34708190a987d68529cbb0b3 |
completed | March 31, 2026, 3:20 a.m. |
Created at: March 30, 2026, 5:46 p.m.