Triple
T20944460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rethymno Beach |
E515807
|
entity |
| Predicate | hasBeachZone |
P33425
|
FINISHED |
| Object | more crowded central sections near Rethymno town |
—
|
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: more crowded central sections near Rethymno town | Statement: [Rethymno Beach, hasBeachZone, more crowded central sections near Rethymno town]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBeachZone Context triple: [Rethymno Beach, hasBeachZone, more crowded central sections near Rethymno town]
-
A.
hasBeach
Indicates that one entity possesses, includes, or is characterized by a beach as part of its features or environment.
-
B.
hasBeachSection
chosen
Indicates that an area, location, or property includes or is associated with a specific section designated as a beach.
-
C.
hasBeachNearby
Indicates that one location is situated close enough to another location to have convenient access to a beach.
-
D.
hasBeachSurface
Indicates that one entity has a beach characterized by a particular type of surface.
-
E.
hasBeachTagRequirement
Indicates that something is subject to a specific requirement or condition related to beach access, use, or tagging.
- 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_69e0b4fc13408190b06868df03c5c29b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fad705e481909da0098d7c73cd02 |
completed | April 21, 2026, 4:19 a.m. |
| PD | Predicate disambiguation | batch_69e5c9b1bae48190a845165fed1b005e |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:54 p.m.