Triple
T34302950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ferdinand the Unifier |
E880226
|
entity |
| Predicate | adoptedCountry |
P179113
|
FINISHED |
| Object | Romania |
—
|
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: Romania | Statement: [Ferdinand the Unifier, adoptedCountry, Romania]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adoptedCountry Context triple: [Ferdinand the Unifier, adoptedCountry, Romania]
-
A.
adoptionCountry
Indicates the country in which the adoption of an entity (such as a person, animal, or item) legally took place.
-
B.
nativeCountry
Indicates the country in which an entity (typically a person) was born or is originally from.
-
C.
formerGoverningCountry
Indicates that one country previously held governing or colonial authority over another country or territory.
-
D.
residenceCountry
Indicates the country in which an entity lives or has their primary place of residence.
-
E.
adoptedWithTreaty
Indicates that something (such as a policy, measure, or standard) was formally adopted as part of, or through the ratification of, a specific treaty.
- 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_69f349b79f6c81909cb468c92c39c74d |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71c35327c8190884f1bfe12bd2cd7 |
completed | May 3, 2026, 9:58 a.m. |
| PD | Predicate disambiguation | batch_69f71822d0e88190ac9731c7ae5a4def |
completed | May 3, 2026, 9:40 a.m. |
| PDg | Predicate description generation | batch_69f71c33edac8190a59f6ff19b265fc5 |
completed | May 3, 2026, 9:58 a.m. |
Created at: May 1, 2026, 1:57 a.m.