Triple
T37428170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arnhold and S. Bleichroeder |
E930051
|
entity |
| Predicate | hadInternationalOperations |
P28884
|
FINISHED |
| Object | Europe |
—
|
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: Europe | Statement: [Arnhold and S. Bleichroeder, hadInternationalOperations, Europe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadInternationalOperations Context triple: [Arnhold and S. Bleichroeder, hadInternationalOperations, Europe]
-
A.
operatesInternationally
chosen
Indicates that the entity conducts activities or business across national borders in multiple countries.
-
B.
hasDomesticOperations
Indicates that an entity conducts business activities or operational functions within its own home country or internal jurisdiction.
-
C.
operatesInTerritoriesOutside
Indicates that an entity conducts activities or maintains operations in geographic areas beyond its primary or home territories.
-
D.
hasInternationalOffice
Indicates that an entity maintains an official office or branch located in a foreign country.
-
E.
hasBusinessOperationsIn
Indicates that a business or organization conducts commercial or operational activities within a specified geographic location or jurisdiction.
- 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_69f76ebf0f288190ba198a78341613b8 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb9e1845e881908d19158440cf3b87 |
completed | May 6, 2026, 8:01 p.m. |
| PD | Predicate disambiguation | batch_69fb8d08d6988190a00794ac26078348 |
completed | May 6, 2026, 6:48 p.m. |
Created at: May 3, 2026, 4:16 p.m.