Triple
T30139895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pacific Place (Hong Kong) |
E766099
|
entity |
| Predicate | numberOfShoppingLevels |
P202136
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [Pacific Place (Hong Kong), numberOfShoppingLevels, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfShoppingLevels Context triple: [Pacific Place (Hong Kong), numberOfShoppingLevels, 4]
-
A.
numberOfLevels
Indicates the total count of hierarchical layers, stages, or floors associated with an entity.
-
B.
hasNumberOfLevels
Indicates that an entity possesses a specified count of distinct levels or tiers.
-
C.
numberOfSeatingLevels
Indicates the total count of distinct seating levels or tiers associated with a venue, structure, or seating arrangement.
-
D.
hasMultipleLevels
Indicates that something is organized into more than one hierarchical or structural level.
-
E.
hasShopCount
Indicates the number of shops 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_69f2247909048190ae86c2160cf8b566 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a0058c341ac8190825067dc25158839 |
completed | May 10, 2026, 10:06 a.m. |
| PD | Predicate disambiguation | batch_6a005857249c81908b27587b84d84dbb |
completed | May 10, 2026, 10:05 a.m. |
| PDg | Predicate description generation | batch_6a0058c26638819085d8cbaa0bd4ccf0 |
completed | May 10, 2026, 10:06 a.m. |
Created at: April 29, 2026, 7:17 p.m.