Triple
T19346434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ammos Beach |
E483890
|
entity |
| Predicate | hasSunbeds |
P135510
|
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: [Ammos Beach, hasSunbeds, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSunbeds Context triple: [Ammos Beach, hasSunbeds, true]
-
A.
hasSunbedRental
Indicates that an entity offers or provides sunbed rental services to others.
-
B.
hasAdditionalBenchesAt
Indicates that one location or facility includes extra benches situated at or associated with another specified place.
-
C.
outdoorSeating
Indicates that an establishment provides seating arrangements located outside the main indoor area.
-
D.
hasNumberOfCampsites
Indicates the specific quantity of campsites associated with a given place, facility, or area.
-
E.
hasBermSeating
Indicates that a venue or location includes berm-style seating areas, typically grass-covered embankments where spectators can sit.
- 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_69d8e8d244f8819080eb1f3491300db2 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e6185b7d348190ba195056bb32c765 |
completed | April 20, 2026, 12:13 p.m. |
| PD | Predicate disambiguation | batch_69e4dd12303c8190a2027c062b2dff40 |
completed | April 19, 2026, 1:48 p.m. |
| PDg | Predicate description generation | batch_69e4df51ac6c819091ce72b07790ffa6 |
completed | April 19, 2026, 1:57 p.m. |
Created at: April 10, 2026, 1:34 p.m.