Triple
T35476231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Langarica Canyon |
E1025339
|
entity |
| Predicate | waterTemperatureFeature |
P9307
|
FINISHED |
| Object | presence of warm thermal waters |
—
|
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: presence of warm thermal waters | Statement: [Langarica Canyon, waterTemperatureFeature, presence of warm thermal waters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterTemperatureFeature Context triple: [Langarica Canyon, waterTemperatureFeature, presence of warm thermal waters]
-
A.
waterTemperatureType
chosen
Indicates the classification or category of a water body’s temperature (e.g., cold, warm, hot) associated with an entity or context.
-
B.
waterTemperatureComparedTo
Indicates how the temperature of one body or sample of water compares to the temperature of another.
-
C.
waterTemperatureClimate
Indicates the relationship between a body of water’s temperature and the prevailing climatic conditions that influence or characterize it.
-
D.
waterTemperatureAtSource
Indicates the temperature of water measured at its point of origin or source location.
-
E.
waterTemperatureInfluencedBy
Indicates that the temperature of water is affected or altered by another factor, condition, or entity.
- 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_69f76dfadba0819083456aadcd6864ea |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fdd2be648c8190b60b3d1caeb44364 |
completed | May 8, 2026, 12:10 p.m. |
| PD | Predicate disambiguation | batch_69fdd14a5c708190a6f95ec61f4fc28f |
completed | May 8, 2026, 12:04 p.m. |
Created at: May 3, 2026, 4:04 p.m.