Triple
T15323855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Istana Nurul Iman |
E366359
|
entity |
| Predicate | numberOfGarages |
P118107
|
FINISHED |
| Object | garages for over 100 cars |
—
|
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: garages for over 100 cars | Statement: [Istana Nurul Iman, numberOfGarages, garages for over 100 cars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfGarages Context triple: [Istana Nurul Iman, numberOfGarages, garages for over 100 cars]
-
A.
hasGarage
Indicates that one entity possesses or includes a garage associated with it.
-
B.
numberOfBays
Indicates the count of distinct bays associated with or contained within a given entity.
-
C.
numberOfParkingSpaces
Indicates the total count of parking spaces associated with a particular entity or location.
-
D.
numberOfHouses
Indicates the quantity of houses associated with a given entity or context.
-
E.
numberOfGardens
Indicates the quantity of gardens associated with a given entity.
- 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_69d85a121520819093dcce999fdefe1a |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03dd5ce0c819093c9a14de549dff6 |
completed | April 16, 2026, 1:39 a.m. |
| PD | Predicate disambiguation | batch_69deca9659f48190b8661df223ce5078 |
completed | April 14, 2026, 11:15 p.m. |
| PDg | Predicate description generation | batch_69decf2e413481909d9180a8d78d2c17 |
completed | April 14, 2026, 11:35 p.m. |
Created at: April 10, 2026, 3:16 a.m.