Triple
T37859712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Μονή Καισαριανής |
E944290
|
entity |
| Predicate | hasNearbyHikingTrails |
P12052
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Μονή Καισαριανής, hasNearbyHikingTrails, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNearbyHikingTrails Context triple: [Μονή Καισαριανής, hasNearbyHikingTrails, yes]
-
A.
hasNearbyTrailheadFor
Indicates that one location has a trailhead situated close enough to serve as a convenient access point for another location.
-
B.
hikingTrailPassesNear
Indicates that a hiking trail runs close to, but does not directly intersect or pass through, a specified location or feature.
-
C.
hasHikingAccess
Indicates that one location or entity provides access or a connection to hiking trails or hiking areas.
-
D.
isHikingTrail
Indicates that a path or route is designated and used specifically for hiking activities.
-
E.
hasNearbyTrail
chosen
Indicates that one entity is located close to or within a short distance of a trail.
- 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_69f76eee2f9c8190b1272aa2ee55ebf5 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a00ae638fcc819096537b2c21366161 |
completed | May 10, 2026, 4:12 p.m. |
| PD | Predicate disambiguation | batch_6a00ae0551988190bcb3564ed9af2847 |
completed | May 10, 2026, 4:10 p.m. |
Created at: May 3, 2026, 4:19 p.m.