Triple
T10617917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gourock Outdoor Pool |
E295169
|
entity |
| Predicate | hasApproximateWaterTemperature |
P4459
|
FINISHED |
| Object | around 29°C |
—
|
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: around 29°C | Statement: [Gourock Outdoor Pool, hasApproximateWaterTemperature, around 29°C]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasApproximateWaterTemperature Context triple: [Gourock Outdoor Pool, hasApproximateWaterTemperature, around 29°C]
-
A.
hasTemperature
chosen
Indicates that an entity possesses or is characterized by a specific temperature value.
-
B.
waterTemperatureType
Indicates the classification or category of a water body’s temperature (e.g., cold, warm, hot) associated with an entity or context.
-
C.
livesInWaterTemperature
Indicates that an entity inhabits or exists in water characterized by a specific temperature or temperature range.
-
D.
hasTemperatureRegime
Indicates that an entity is characterized by or associated with a particular pattern or regime of temperature conditions.
-
E.
hasMinTemperature
Indicates that something possesses or is associated with a specified minimum temperature value.
- 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_69d6ad9cac2c81908e8a7bed82d1e21d |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d6df6ee1848190a7d5fcd40b06cfe3 |
completed | April 8, 2026, 11:06 p.m. |
| PD | Predicate disambiguation | batch_69d6dd7a223c8190854409d76368f3e8 |
completed | April 8, 2026, 10:58 p.m. |
Created at: April 8, 2026, 8:15 p.m.