Triple
T30933079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Scott Paper Company |
E788046
|
entity |
| Predicate | officeLocatedNextTo |
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: [Michael Scott Paper Company, officeLocatedNextTo, Dunder Mifflin Scranton branch]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeLocatedNextTo Context triple: [Michael Scott Paper Company, officeLocatedNextTo, Dunder Mifflin Scranton branch]
-
A.
neighborOfficeOf
chosen
Indicates that one entity’s office is located adjacent to or very near the office of another entity.
-
B.
collectorOfficeLocation
Indicates the physical office location associated with a particular collector.
-
C.
officeIsIn
Indicates that one office is located within or inside another specified place or building.
-
D.
agencyLocatedIn
Indicates that an agency is situated or based within a specific geographic or administrative location.
-
E.
organizationLocatedAt
Indicates that an organization is situated or based at a specific geographic location or address.
- 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_69fea1f5d8c481908dc3351dc9ecef7f |
completed | May 9, 2026, 2:54 a.m. |
| PD | Predicate disambiguation | batch_69fea06b6fe0819095bf4c1bc9809927 |
completed | May 9, 2026, 2:48 a.m. |
Created at: April 29, 2026, 8:52 p.m.