Triple
T30933657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vance Refrigeration |
E788060
|
entity |
| Predicate | sharesParkingLotWith |
P71121
|
FINISHED |
| Object | Dunder Mifflin Scranton branch |
—
|
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: Dunder Mifflin Scranton branch | Statement: [Vance Refrigeration, sharesParkingLotWith, Dunder Mifflin Scranton branch]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sharesParkingLotWith Context triple: [Vance Refrigeration, sharesParkingLotWith, Dunder Mifflin Scranton branch]
-
A.
sharesReservationWith
Indicates that two or more entities are associated with the same reservation record or booking.
-
B.
parkLocation
Indicates the place or area where something is parked or intended to be parked.
-
C.
sharesBusinessParkWith
Indicates that two entities are located in and operate from the same business park complex.
-
D.
sharesFacilityWith
chosen
Indicates that two entities use or have access to the same physical facility or location.
-
E.
parkSystem
Indicates a relationship where an entity is part of, managed by, or associated with an organized system of parks or protected recreational areas.
- 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_69f224c0b7fc819090cb89df60d23653 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fe920a437081908d5174e8cf7a53a6 |
completed | May 9, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69fe919a9a6c8190acb4483f386e6db7 |
completed | May 9, 2026, 1:44 a.m. |
Created at: April 29, 2026, 8:52 p.m.