Triple
T23529515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Telašćica Nature Park |
E576523
|
entity |
| Predicate | lakeTemperature |
P109706
|
FINISHED |
| Object | warmer than surrounding sea in summer |
—
|
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: warmer than surrounding sea in summer | Statement: [Telašćica Nature Park, lakeTemperature, warmer than surrounding sea in summer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lakeTemperature Context triple: [Telašćica Nature Park, lakeTemperature, warmer than surrounding sea in summer]
-
A.
waterTemperatureType
Indicates the classification or category of a water body’s temperature (e.g., cold, warm, hot) associated with an entity or context.
-
B.
waterTemperatureComparedTo
chosen
Indicates how the temperature of one body or sample of water compares to the temperature of another.
-
C.
waterTemperatureAtSource
Indicates the temperature of water measured at its point of origin or source location.
-
D.
densityAt15C
Indicates the material’s density measured specifically at a temperature of 15 degrees Celsius.
-
E.
lakeMaximumDepth
Indicates the greatest recorded vertical distance from the lake’s surface to its deepest point.
- 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_69e245f5a8848190a2ba42e271c6c31f |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1ac7646a48190b5dcbaf8c0c194df |
completed | April 29, 2026, 7 a.m. |
| PD | Predicate disambiguation | batch_69f1189d75b48190a1c01928a993c9fb |
completed | April 28, 2026, 8:29 p.m. |
Created at: April 17, 2026, 6:09 p.m.