Triple
T2686455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hawa Mahal |
E57494
|
entity |
| Predicate | ventilationFeature |
P41511
|
FINISHED |
| Object | designed to allow cool air circulation |
—
|
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: designed to allow cool air circulation | Statement: [Hawa Mahal, ventilationFeature, designed to allow cool air circulation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ventilationFeature Context triple: [Hawa Mahal, ventilationFeature, designed to allow cool air circulation]
-
A.
hasVentilationShafts
Indicates that one entity is equipped with or contains ventilation shafts that provide airflow or air passage.
-
B.
hasFlankVents
Indicates that an entity possesses vents located on its sides or flanks.
-
C.
hasVentilationBuildings
Indicates that certain buildings are designated to provide ventilation for another structure, area, or system.
-
D.
airIntakeType
Indicates the type or configuration of the system or mechanism used to draw air into an engine or device.
-
E.
hasAirConditioning
Indicates that an entity is equipped with or provides air conditioning.
- F. None of above. chosen
Provenance (4 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_69ab4a5028388190a36f3baf1588309e |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd9ef2fe0819082bbe746ca682a7e |
completed | March 7, 2026, 7:55 a.m. |
| PD | Predicate disambiguation | batch_69abd81c9b4c81908e5e0da6ac5f828b |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abd891bcd481909af5340a64ff69f9 |
completed | March 7, 2026, 7:49 a.m. |
Created at: March 6, 2026, 9:54 p.m.