Triple
T3515006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | House of Councillors chamber |
E74284
|
entity |
| Predicate | floorOfBuilding |
P5519
|
FINISHED |
| Object | one wing of the National Diet Building |
—
|
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: one wing of the National Diet Building | Statement: [House of Councillors chamber, floorOfBuilding, one wing of the National Diet Building]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: floorOfBuilding Context triple: [House of Councillors chamber, floorOfBuilding, one wing of the National Diet Building]
-
A.
floorCount
Indicates the number of floors or levels that a building or structure has.
-
B.
numberOfFloors
Indicates the total count of distinct floor levels that a building or structure has.
-
C.
floorAccess
Indicates that an entity is permitted to enter or use a specific floor or level within a building or structure.
-
D.
floorAbove
Indicates that one floor is located directly above another floor in a vertical arrangement.
-
E.
hasFloor
chosen
Indicates that one entity possesses, includes, or is associated with a particular floor or level within a structure.
- 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_69ad85cfb5c881909c9a2edd9d6043cc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc30362c81908ca7497a6a935cc6 |
completed | March 8, 2026, 6:13 p.m. |
| PD | Predicate disambiguation | batch_69adae10689c8190b7dc6d7daa8295b6 |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:19 p.m.