Triple
T30933645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vance Refrigeration |
E788060
|
entity |
| Predicate | neighborOfficeOf |
P173759
|
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, neighborOfficeOf, Dunder Mifflin Scranton branch]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: neighborOfficeOf Context triple: [Vance Refrigeration, neighborOfficeOf, Dunder Mifflin Scranton branch]
-
A.
collectorOfficeLocation
Indicates the physical office location associated with a particular collector.
-
B.
denotesOfficeIn
Indicates that an entity holds or maintains an official office or branch located within a specified place or jurisdiction.
-
C.
addressesOffice
Indicates that one entity directs communication, correspondence, or attention specifically to an office associated with another entity.
-
D.
officeIsIn
Indicates that one office is located within or inside another specified place or building.
-
E.
subjectOffice
Indicates the office or official position held by the subject in relation to another entity or context.
- F. None of above. chosen
Provenance (4 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_69f6ba1733408190af579d93a7946508 |
completed | May 3, 2026, 2:59 a.m. |
| PD | Predicate disambiguation | batch_69f6b6293188819080d5041ca0adb969 |
completed | May 3, 2026, 2:42 a.m. |
| PDg | Predicate description generation | batch_69f6b960ca4081909a77690c2b122f5e |
completed | May 3, 2026, 2:56 a.m. |
Created at: April 29, 2026, 8:52 p.m.