Triple
T10958327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Mosque of Malaysia |
E258901
|
entity |
| Predicate | hasReflectingPool |
P96839
|
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: [National Mosque of Malaysia, hasReflectingPool, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReflectingPool Context triple: [National Mosque of Malaysia, hasReflectingPool, yes]
-
A.
hasPool
Indicates that one entity possesses, includes, or is equipped with a swimming pool.
-
B.
hasPrimaryPool
Indicates that an entity is associated with or designated to use a particular pool as its main or default pool.
-
C.
hasSecondaryPool
Indicates that an entity possesses an additional, non-primary pool or reservoir associated with it.
-
D.
hasPoolLength
Indicates that an entity (such as a pool) has a specific measured length.
-
E.
hasPoolType
Indicates that an entity’s swimming pool possesses a specific type or classification (e.g., indoor, outdoor, heated).
- 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_69d6aa88500c819097d7032ca578e74f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d77126d9288190aa5daf2ba83d731d |
completed | April 9, 2026, 9:28 a.m. |
| PD | Predicate disambiguation | batch_69d72e874f48819096ffa878f90c7d5b |
completed | April 9, 2026, 4:43 a.m. |
| PDg | Predicate description generation | batch_69d7322370648190ba14cdd6fb4cdcb0 |
completed | April 9, 2026, 4:59 a.m. |
Created at: April 8, 2026, 9:23 p.m.