Triple
T33755894
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | proclamation of the Kingdom of Romania |
E864975
|
entity |
| Predicate | previousTitleOfRuler |
P41768
|
FINISHED |
| Object | Prince of 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: Prince of Romania | Statement: [proclamation of the Kingdom of Romania, previousTitleOfRuler, Prince of Romania]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousTitleOfRuler Context triple: [proclamation of the Kingdom of Romania, previousTitleOfRuler, Prince of Romania]
-
A.
hasFormerRuler
Indicates that an entity previously served as the ruler of another entity but no longer holds that ruling position.
-
B.
previousMonarch
Indicates that one entity served as the monarch immediately before another entity in a succession.
-
C.
predecessorEraRuler
Indicates that one ruler directly preceded another as the ruler of a given era or period.
-
D.
precedesNameOfMonarch
Indicates that one entity comes immediately before the name of a monarch in a sequence, representation, or textual context.
-
E.
previousHeadOfStateTitle
chosen
Indicates that one entity is the official title or designation held by another entity in its role as a former head of state.
- 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_69f3498c35f881909df279ae4270f831 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff17be6ad48190963206f2619b1b28 |
completed | May 9, 2026, 11:17 a.m. |
| PD | Predicate disambiguation | batch_69ff1724ba24819092c928fcbcb286ec |
completed | May 9, 2026, 11:14 a.m. |
Created at: May 1, 2026, 1:45 a.m.