Triple
T18805602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mia Warren |
E459864
|
entity |
| Predicate | rents |
P30909
|
FINISHED |
| Object | duplex from Elena Richardson |
—
|
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: duplex from Elena Richardson | Statement: [Mia Warren, rents, duplex from Elena Richardson]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rents Context triple: [Mia Warren, rents, duplex from Elena Richardson]
-
A.
rentalModel
Indicates that one entity is used or provided to another under a specific rental arrangement, defining how the rental relationship is structured or operates.
-
B.
offersEquipmentRental
Indicates that one entity provides equipment to another entity for temporary use in exchange for a fee or under a rental agreement.
-
C.
leaseAgreement
chosen
Indicates a contractual relationship in which one party grants another the right to use an asset or property for a specified period in exchange for agreed payments or conditions.
-
D.
typeOfListing
Indicates the specific category or kind of listing that an item, property, or entity is associated with.
-
E.
leaseNumber
Indicates the unique identifying number assigned to a specific lease agreement between parties.
- 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_69d8d398c7d4819091cb2f7e48948aeb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5a3d6d5e081909d8285e52cb753ba |
completed | April 20, 2026, 3:56 a.m. |
| PD | Predicate disambiguation | batch_69e48d16dd34819096e096d0c0e4c15c |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:53 a.m.