Triple
T15994003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Freiherr von Reuter |
E387912
|
entity |
| Predicate | titleHolderLaterNationality |
P121210
|
FINISHED |
| Object | British |
—
|
LITERAL FINISHED |
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: British | Statement: [Freiherr von Reuter, titleHolderLaterNationality, British]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleHolderLaterNationality Context triple: [Freiherr von Reuter, titleHolderLaterNationality, British]
-
A.
titleHolderBirthCountry
Indicates the country in which the holder of a particular title was born.
-
B.
officeHolderNationality
Indicates that the nationality of an office holder is a specified country or nation.
-
C.
ownerNationality
Indicates that the owner of an entity has the specified nationality.
-
D.
targetNationality
Indicates that one entity has the specified nationality as its intended or designated target.
-
E.
namedForNationality
Indicates that something is named after or in reference to a particular nationality or national identity.
- 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e17d4e871c819082d7b1c1eaf5b4fe |
completed | April 17, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69e142d9d8e881909b559a3e3ca21d24 |
completed | April 16, 2026, 8:13 p.m. |
| PDg | Predicate description generation | batch_69e17d48cc9c8190b03fd07ae2e9dfd8 |
completed | April 17, 2026, 12:22 a.m. |
Created at: April 10, 2026, 4:55 a.m.