Triple
T35824523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BGA WTC I No. 15 |
E1035601
|
entity |
| Predicate | associatedCollectionVolume |
P206068
|
FINISHED |
| Object | I |
—
|
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: I | Statement: [BGA WTC I No. 15, associatedCollectionVolume, I]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedCollectionVolume Context triple: [BGA WTC I No. 15, associatedCollectionVolume, I]
-
A.
collectionVolume
Indicates the total physical or spatial amount occupied by a collection, such as its size, capacity, or volume.
-
B.
collectionSize
Indicates the total number of items contained within a specified collection.
-
C.
collectionSizeDescriptor
Indicates how the size or magnitude of a collection is characterized or described.
-
D.
associatedWithCollection
Indicates that an entity has a relationship or linkage to a particular collection, such as being included in, managed by, or contextually grouped with that collection.
-
E.
volumeOf
Indicates the quantitative three-dimensional space occupied by an entity or contained within an object.
- 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_69f76e185ffc8190880b3cdf51decd38 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037ce70f54819082946dad8d380825 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a069e6c8190857b611fffb7b867 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037ce53de881908cf14141cf3bc570 |
completed | May 12, 2026, 7:17 p.m. |
Created at: May 3, 2026, 4:06 p.m.