Triple
T17288407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hot Water Beach |
E419716
|
entity |
| Predicate | hasRecommendation |
P69953
|
FINISHED |
| Object | visitors bring a spade to dig pools |
—
|
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: visitors bring a spade to dig pools | Statement: [Hot Water Beach, hasRecommendation, visitors bring a spade to dig pools]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRecommendation Context triple: [Hot Water Beach, hasRecommendation, visitors bring a spade to dig pools]
-
A.
hasRecommendationNumber
Indicates that an entity is associated with a specific recommendation identified by a particular number.
-
B.
hasRecommendedActivity
chosen
Indicates that one entity suggests or endorses a particular activity for another entity to perform or engage in.
-
C.
madeRecommendation
Indicates that one entity has suggested or advised another entity to consider a particular option, action, or choice.
-
D.
implementsRecommendationOf
Indicates that one entity carries out or puts into practice a recommendation that was proposed or issued by another entity.
-
E.
canRecommend
Indicates that one entity is able or authorized to suggest or endorse another entity as suitable or preferable.
- 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_69d886db32608190a61e18862c5a8af6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e43781b7808190a0528ee9c54a0c66 |
completed | April 19, 2026, 2:01 a.m. |
| PD | Predicate disambiguation | batch_69e3b0118ad08190b119cd219c68ba67 |
completed | April 18, 2026, 4:23 p.m. |
Created at: April 10, 2026, 5:40 a.m.