Triple
T24612930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fils de France |
E609168
|
entity |
| Predicate | entailsPrecedenceOver |
P34031
|
FINISHED |
| Object | other French princes |
—
|
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: other French princes | Statement: [Fils de France, entailsPrecedenceOver, other French princes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: entailsPrecedenceOver Context triple: [Fils de France, entailsPrecedenceOver, other French princes]
-
A.
confersPrecedenceIn
Indicates that one entity is granted higher priority, rank, or standing over another within a specified context or domain.
-
B.
hasPrecedence
chosen
Indicates that one entity occurs, is considered, or is applied before another in order, priority, or importance.
-
C.
precedesInStability
Indicates that one entity is more stable than another, coming earlier in an ordering based on stability.
-
D.
hasPrecedenceSystem
Indicates that one system is defined as having priority or a higher order of precedence over another system in determining outcomes or rules.
-
E.
sharesPrecedenceWith
Indicates that two entities occupy the same level in an ordering or hierarchy, such that neither has priority or precedence over the other.
- 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_69e2c4d1140081909c58667bf68f80c3 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6ca751c8190a040c10d701ecf3a |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:31 a.m.