Triple
T9830446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York World Building |
E238767
|
entity |
| Predicate | hasBasementFloors |
P996
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [New York World Building, hasBasementFloors, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBasementFloors Context triple: [New York World Building, hasBasementFloors, 2]
-
A.
hasBasement
Indicates that a building or structure includes a basement level as part of its physical layout.
-
B.
numberOfBasementLevels
chosen
Indicates the total count of basement levels associated with a given structure or property.
-
C.
hasFloorsAboveGround
Indicates that an entity (typically a building or structure) possesses a specified number of floors that are located above ground level.
-
D.
hasBasementUse
Indicates that a building or structure’s basement is used for a specified purpose or function.
-
E.
basementType
Indicates the type or classification of a building’s basement as defined in the relationship.
- F. None of above.
Provenance (3 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_69ca84e0dd1881909800765d1e21f735 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb3297bd88190bf8c53a4ba00e0ae |
completed | April 2, 2026, 12:07 a.m. |
| PD | Predicate disambiguation | batch_69cd03e30bc08190816c0a6d29c21b0f |
completed | April 1, 2026, 11:39 a.m. |
Created at: March 30, 2026, 8:32 p.m.