Triple
T30295639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Architecture of the Prophet’s Mosque |
E770510
|
entity |
| Predicate | hasClimateControlFeature |
P72603
|
FINISHED |
| Object | retractable roof sections |
—
|
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: retractable roof sections | Statement: [Architecture of the Prophet’s Mosque, hasClimateControlFeature, retractable roof sections]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasClimateControlFeature Context triple: [Architecture of the Prophet’s Mosque, hasClimateControlFeature, retractable roof sections]
-
A.
climateControlFeature
chosen
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.
hasVehicleFeature
Indicates that a vehicle possesses, includes, or is equipped with a specific feature or characteristic.
-
D.
hasHeating
Indicates that an entity is equipped with or provides a heating system or heating capability.
-
E.
hasAirCooling
Indicates that an entity is equipped with or utilizes an air-based cooling system.
- 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_69f224881b948190b8c4921b250a44a3 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f7aa699d68819081ed363931894ab3 |
completed | May 3, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69f7a8cec6d48190bebfa884b2f938c0 |
completed | May 3, 2026, 7:58 p.m. |
Created at: April 29, 2026, 7:48 p.m.