Triple
T34751786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Voula beach |
E1001801
|
entity |
| Predicate | hasBeachVolleyballCourts |
P168590
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Voula beach, hasBeachVolleyballCourts, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBeachVolleyballCourts Context triple: [Voula beach, hasBeachVolleyballCourts, true]
-
A.
hasBeachSurface
Indicates that one entity has a beach characterized by a particular type of surface.
-
B.
hasVolleyballArea
chosen
Indicates that a location or facility includes a designated area for playing volleyball.
-
C.
hasBeachGames
Indicates that one entity offers or includes beach-related games or recreational activities for another entity.
-
D.
hasBeachSection
Indicates that an area, location, or property includes or is associated with a specific section designated as a beach.
-
E.
hasTennisCourt
Indicates that one entity possesses, includes, or provides access to a tennis court as part of its facilities or attributes.
- 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_69f76db0fb30819096709d43f9a1f45f |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69fba2877b248190a974eb092243c0c4 |
completed | May 6, 2026, 8:20 p.m. |
| PD | Predicate disambiguation | batch_69fb8d06a1b48190a937aa410d159dfa |
completed | May 6, 2026, 6:48 p.m. |
Created at: May 3, 2026, 3:59 p.m.