Triple
T36136038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jerry’s apartment building |
E1045168
|
entity |
| Predicate | floorOfKramerApartment |
P184955
|
FINISHED |
| Object | across the hall from Jerry |
—
|
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: across the hall from Jerry | Statement: [Jerry’s apartment building, floorOfKramerApartment, across the hall from Jerry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: floorOfKramerApartment Context triple: [Jerry’s apartment building, floorOfKramerApartment, across the hall from Jerry]
-
A.
floorOfJerryApartment
Indicates the specific floor on which Jerry's apartment is located.
-
B.
floorCount
Indicates the number of floors or levels that a building or structure has.
-
C.
cabinFloor
Indicates that one entity is the floor or floor level within a cabin associated with another entity.
-
D.
floorHeight
Indicates the vertical elevation or level at which a particular floor is positioned within a structure.
-
E.
floorStart
Indicates the floor or level at which something begins or is initiated.
- 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_69f76e36a4508190b5bfc8f594272a4c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b69b333081909cadbed3fcb8ecf5 |
completed | May 3, 2026, 8:56 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c2a5f8819094ad4621d7b97e0c |
completed | May 3, 2026, 8:49 p.m. |
| PDg | Predicate description generation | batch_69f7b69a74a08190b31b1201278a2c57 |
completed | May 3, 2026, 8:56 p.m. |
Created at: May 3, 2026, 4:08 p.m.