Triple
T9895270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Climatron |
E181553
|
entity |
| Predicate | hasClimateControlSystem |
P59603
|
FINISHED |
| Object | computer-controlled environment |
—
|
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: computer-controlled environment | Statement: [Climatron, hasClimateControlSystem, computer-controlled environment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasClimateControlSystem Context triple: [Climatron, hasClimateControlSystem, computer-controlled environment]
-
A.
climateControlFeature
Indicates that an entity includes or supports a function or system for regulating environmental conditions such as temperature, humidity, or airflow.
-
B.
hasAirConditioning
Indicates that an entity is equipped with or provides air conditioning.
-
C.
hasHeating
Indicates that an entity is equipped with or provides a heating system or heating capability.
-
D.
settingClimate
Indicates that an entity adjusts or defines the climate or environmental conditions for another entity or context.
-
E.
hasEnvironmentalControl
chosen
Indicates that one entity regulates, influences, or manages the environmental conditions affecting another entity or area.
- 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_69ca8283a6708190801af7a25a7ebb9f |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cdb4a89e148190901753e67483d72c |
completed | April 2, 2026, 12:13 a.m. |
| PD | Predicate disambiguation | batch_69cd1d872d50819096b7ab166a8decf1 |
completed | April 1, 2026, 1:28 p.m. |
Created at: March 30, 2026, 8:39 p.m.