Triple
T30829848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Penzberg |
E785181
|
entity |
| Predicate | hasIndustrialSiteOf |
P25392
|
FINISHED |
| Object | Roche Diagnostics |
—
|
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: Roche Diagnostics | Statement: [Penzberg, hasIndustrialSiteOf, Roche Diagnostics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasIndustrialSiteOf Context triple: [Penzberg, hasIndustrialSiteOf, Roche Diagnostics]
-
A.
hasIndustrialSiteIn
Indicates that an entity possesses, operates, or is responsible for an industrial facility located within a specified place or area.
-
B.
isIndustrialSite
Indicates that a location functions primarily as a site for industrial activities such as manufacturing, processing, or large-scale production.
-
C.
hasIndustrialPlant
chosen
Indicates that an entity possesses, operates, or is associated with an industrial plant facility.
-
D.
hasIndustrialHeritage
Indicates that an entity possesses or is associated with historically significant industrial sites, structures, or practices.
-
E.
hasIndustrialTown
Indicates that an entity possesses or is associated with a town characterized primarily by industrial activities or facilities.
- 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_69f224b6642481909e8d701de2cd1a53 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69ff136ed2a881908f713401083970d1 |
completed | May 9, 2026, 10:58 a.m. |
| PD | Predicate disambiguation | batch_69ff10f9e3448190b6cb6ea5a67713c1 |
completed | May 9, 2026, 10:48 a.m. |
Created at: April 29, 2026, 8:44 p.m.