Triple
T19248728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | House with Chimaeras |
E481329
|
entity |
| Predicate | numberOfFloorsOnBankovaSide |
P1728
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [House with Chimaeras, numberOfFloorsOnBankovaSide, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfFloorsOnBankovaSide Context triple: [House with Chimaeras, numberOfFloorsOnBankovaSide, 3]
-
A.
numberOfFloors
chosen
Indicates the total count of distinct floor levels that a building or structure has.
-
B.
hasOppositeBankStreet
Indicates that a street is located on the opposite bank of a river or waterway relative to another street.
-
C.
hasNumberOfElevatorBanks
Indicates the relationship specifying how many distinct elevator banks are present in or associated with a given entity.
-
D.
numberOfResidentialFloors
Indicates the total count of floors in a building that are designated for residential use.
-
E.
floorCountOfSurroundingBuildings
Indicates the number of floors in the buildings that are located around or near a given reference building or area.
- 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_69d8e8cd9d1081908a181d02b88b59b8 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fb2f43e48190abab5257bec8e6aa |
completed | April 20, 2026, 10:08 a.m. |
| PD | Predicate disambiguation | batch_69e4dd002d00819088b625056edfb74e |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:27 p.m.