Triple
T17797173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mall of the Emirates |
E444322
|
entity |
| Predicate | hasIndoorClimateControl |
P72603
|
FINISHED |
| Object | air-conditioned |
—
|
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: air-conditioned | Statement: [Mall of the Emirates, hasIndoorClimateControl, air-conditioned]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasIndoorClimateControl Context triple: [Mall of the Emirates, hasIndoorClimateControl, air-conditioned]
-
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.
hasHeating
Indicates that an entity is equipped with or provides a heating system or heating capability.
-
D.
hasIndoorType
Indicates that an entity is associated with a specific type or category of indoor environment or indoor feature.
-
E.
hasHeatPumpOption
Indicates that something offers or includes the option to use a heat pump.
- 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_69d8b9efe370819095cd219b143ae727 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e487fbc83481909a30fc7203b64099 |
completed | April 19, 2026, 7:44 a.m. |
| PD | Predicate disambiguation | batch_69e3d8de28688190844b65acf6af54e6 |
completed | April 18, 2026, 7:17 p.m. |
Created at: April 10, 2026, 10:13 a.m.