Triple
T20994487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bev |
E517110
|
entity |
| Predicate | homeownerOf |
P119713
|
FINISHED |
| Object | house in Clybourne Park neighborhood |
—
|
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: house in Clybourne Park neighborhood | Statement: [Bev, homeownerOf, house in Clybourne Park neighborhood]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: homeownerOf Context triple: [Bev, homeownerOf, house in Clybourne Park neighborhood]
-
A.
homeManager
Indicates that one entity manages, oversees, or is responsible for the operations or affairs of another entity’s home or household.
-
B.
ownerOccupation
Indicates that the occupation or job role of an entity that owns something is being specified or described.
-
C.
usedByHouse
Indicates that something is utilized or employed by a particular house.
-
D.
houseOwnerInStory
chosen
Indicates that one entity is the owner of a house within the context or events of a particular story.
-
E.
homeTo
Indicates that a place serves as the primary location, residence, or habitat for a person, group, or thing.
- 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_69e0b5006e2881909fc2383f841740cc |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc1e75188190a97114238ea0b4f9 |
completed | April 21, 2026, 4:25 a.m. |
| PD | Predicate disambiguation | batch_69e5dbec80708190a49bccab7ff97e7b |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 1:50 p.m.