Triple
T30933078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Scott Paper Company |
E788046
|
entity |
| Predicate | headquartersLocationInSeries |
P42063
|
FINISHED |
| Object | Scranton Business Park |
—
|
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: Scranton Business Park | Statement: [Michael Scott Paper Company, headquartersLocationInSeries, Scranton Business Park]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: headquartersLocationInSeries Context triple: [Michael Scott Paper Company, headquartersLocationInSeries, Scranton Business Park]
-
A.
headquartersLocation
Indicates the place where an organization’s main administrative center or principal office is located.
-
B.
headquartersAt
Indicates that an organization’s main administrative center or primary office is located at a specified place.
-
C.
finalHeadquarters
Indicates the location that ultimately serves as an entity’s last or definitive headquarters.
-
D.
headquartersFor
Indicates that a location serves as the main administrative center or base of operations for an organization or entity.
-
E.
fictionalHeadquartersLocation
chosen
Indicates the place where a fictional organization, group, or entity is based or has its main headquarters within a fictional context.
- 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_69f692e1aef48190b8ac1b2027013d94 |
completed | May 3, 2026, 12:12 a.m. |
| PD | Predicate disambiguation | batch_69f68b7ec098819080480998038de940 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 29, 2026, 8:52 p.m.