Triple
T373026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State Dining Room |
E8309
|
entity |
| Predicate | hasFlooring |
P11781
|
FINISHED |
| Object | hardwood floor |
—
|
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: hardwood floor | Statement: [State Dining Room, hasFlooring, hardwood floor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFlooring Context triple: [State Dining Room, hasFlooring, hardwood floor]
-
A.
hasFloor
Indicates that one entity possesses, includes, or is associated with a particular floor or level within a structure.
-
B.
floor
Indicates that one entity is located on or forms the walking surface (the floor) beneath another entity within a space.
-
C.
hasGlassFloor
Indicates that one entity possesses or features a floor made of glass.
-
D.
hasOutfieldWallCovering
Indicates that an outfield wall is covered or surfaced with a particular material or type of covering.
-
E.
furnishingType
Indicates the type or category of furnishings associated with an entity, such as a property or room.
- 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_69a2e7f2ec648190b42bc7db424f8109 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec018d508190b5687a9ba90b3092 |
completed | Feb. 28, 2026, 1:22 p.m. |
| PD | Predicate disambiguation | batch_69a2e960d880819084b3df4e5137a1e2 |
completed | Feb. 28, 2026, 1:10 p.m. |
| PDg | Predicate description generation | batch_69a2ea0b23ec8190bef9d593162388a4 |
completed | Feb. 28, 2026, 1:13 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.