Triple
T2939278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | R46 subway cars |
E79343
|
entity |
| Predicate | airConditioning |
P34231
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [R46 subway cars, airConditioning, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: airConditioning Context triple: [R46 subway cars, airConditioning, yes]
-
A.
hasAirConditioning
chosen
Indicates that an entity is equipped with or provides air conditioning.
-
B.
settingClimate
Indicates that an entity adjusts or defines the climate or environmental conditions for another entity or context.
-
C.
ventilationFeature
Indicates that one entity has a structural or functional role related to providing, enabling, or affecting ventilation for another entity.
-
D.
coolingRequirement
Indicates that an entity requires or is subject to a specific amount or type of cooling to operate within acceptable conditions.
-
E.
hasHeating
Indicates that an entity is equipped with or provides a heating system or heating capability.
- 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_69ad8b0fbab081908f6a61567c045d8d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad986d9a248190927efc1a0c7d247f |
completed | March 8, 2026, 3:40 p.m. |
| PD | Predicate disambiguation | batch_69ad96088fb481909976b436c2b729d9 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:56 p.m.