Triple
T28623152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Select Citywalk Mall |
E724440
|
entity |
| Predicate | hasMultiplex |
P180318
|
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: [Select Citywalk Mall, hasMultiplex, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMultiplex Context triple: [Select Citywalk Mall, hasMultiplex, yes]
-
A.
multiplexType
Indicates the specific kind or category of multiplex relationship or connection that exists between entities.
-
B.
hasMultiple
Indicates that an entity is associated with more than one instance or occurrence of another related entity.
-
C.
multiplexes
Indicates that one entity combines multiple input signals or data streams into a single channel or medium for transmission or processing.
-
D.
multiplexing
Indicates combining multiple signals or data streams into a single channel or medium for transmission or processing.
-
E.
supportsMultipleStreams
Indicates that the subject is capable of handling or maintaining more than one data or communication stream at the same time.
- 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_69f01d822ac08190932de59ec2268ed2 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f73ae120bc8190bff94d38d7a7a00d |
completed | May 3, 2026, 12:09 p.m. |
| PD | Predicate disambiguation | batch_69f73a38d0848190aa5139144b8561c6 |
completed | May 3, 2026, 12:06 p.m. |
| PDg | Predicate description generation | batch_69f73adfd9a081908adae6bd59dfefb9 |
completed | May 3, 2026, 12:09 p.m. |
Created at: April 28, 2026, 4:34 a.m.