Triple
T37375455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rachel Garrison |
E927966
|
entity |
| Predicate | businessLocatedIn |
P56510
|
FINISHED |
| Object | Lake of the Ozarks |
—
|
NE NERFINISHED |
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: Lake of the Ozarks | Statement: [Rachel Garrison, businessLocatedIn, Lake of the Ozarks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: businessLocatedIn Context triple: [Rachel Garrison, businessLocatedIn, Lake of the Ozarks]
-
A.
organizationLocatedAt
chosen
Indicates that an organization is situated or based at a specific geographic location or address.
-
B.
businessLocationType
Indicates the type or category of location where a business operates or is situated.
-
C.
agencyLocatedIn
Indicates that an agency is situated or based within a specific geographic or administrative location.
-
D.
businessFoundedIn
Indicates that a business entity was established or came into existence in a specific location or time.
-
E.
headquartersOfBusiness
Indicates that a location serves as the main administrative center or principal office for a business.
- 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_69f76eb820248190a5c395ca50ad002a |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb9e1845e881908d19158440cf3b87 |
completed | May 6, 2026, 8:01 p.m. |
| PD | Predicate disambiguation | batch_69fb8d08d6988190a00794ac26078348 |
completed | May 6, 2026, 6:48 p.m. |
Created at: May 3, 2026, 4:16 p.m.