Triple
T19346441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ammos Beach |
E483890
|
entity |
| Predicate | isSuitableForSwimming |
P70106
|
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, isSuitableForSwimming, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSuitableForSwimming Context triple: [Ammos Beach, isSuitableForSwimming, true]
-
A.
swimmingSuitability
chosen
Indicates how appropriate or safe a given environment or condition is for swimming.
-
B.
swimmingAllowed
Indicates that swimming is permitted at a particular place, time, or under specified conditions.
-
C.
canSwim
Indicates that an entity has the ability to move through water by swimming.
-
D.
swimmingAdvised
Indicates that engaging in swimming is recommended or suggested under certain conditions or for certain individuals.
-
E.
hasWaterActivity
Indicates that one entity possesses, exhibits, or is characterized by a particular level or type of water-related activity (such as moisture content, water availability, or water-based processes).
- 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_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. |
Created at: April 10, 2026, 1:34 p.m.