Triple
T29750103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | French military hierarchy |
E752869
|
entity |
| Predicate | topAuthority |
P167839
|
FINISHED |
| Object | President of France |
—
|
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: President of France | Statement: [French military hierarchy, topAuthority, President of France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: topAuthority Context triple: [French military hierarchy, topAuthority, President of France]
-
A.
rankingAuthority
Indicates that one entity serves as the official source or body responsible for assigning rankings or ordered evaluations to another entity.
-
B.
domainRankAbove
Indicates that one domain has a higher rank or priority than another within a specified ranking system.
-
C.
organRank
Indicates a hierarchical or priority ordering among organs relative to one another.
-
D.
targetAudienceRank
Indicates the relative priority or importance level assigned to a particular audience segment compared to other potential audiences.
-
E.
goRank
Indicates a ranking or ordered position assigned to an entity within a sequence or hierarchy.
- 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_69f0d62c84cc8190846f80ae04fdf8ec |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f6736a13f08190b9695bb8796e0aec |
completed | May 2, 2026, 9:58 p.m. |
| PD | Predicate disambiguation | batch_69f66ac1a4fc81909740d2e52fbe6970 |
completed | May 2, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69f66c59de9881909ebbb7b0ae7ab495 |
completed | May 2, 2026, 9:27 p.m. |
Created at: April 28, 2026, 7:53 p.m.