Triple
T2780974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | François-Paul Brueys d’Aigalliers |
E61690
|
entity |
| Predicate | militaryOccupation |
P9463
|
FINISHED |
| Object | naval commander |
—
|
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: naval commander | Statement: [François-Paul Brueys d’Aigalliers, militaryOccupation, naval commander]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: militaryOccupation Context triple: [François-Paul Brueys d’Aigalliers, militaryOccupation, naval commander]
-
A.
countryMilitary
Indicates that a country possesses, controls, or is associated with a particular military force or armed organization.
-
B.
militaryRole
chosen
Indicates the specific function, position, or duty an entity holds within a military organization or context.
-
C.
militaryFunction
Indicates a relationship where an entity serves a specific role, duty, or operational purpose within a military context.
-
D.
militaryDomain
Indicates that the relationship or action occurs within, pertains to, or is specifically associated with the military sphere or context.
-
E.
occupationForcesCommandedBy
Indicates that a particular occupation force is under the command or authority of a specified commander or commanding entity.
- 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_69ab4b7e43c48190997b8fc8fb1663ab |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abddceb9d88190961e30d521a21552 |
completed | March 7, 2026, 8:11 a.m. |
| PD | Predicate disambiguation | batch_69abdd00b65c8190a8ea444308c4fa2b |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 9:57 p.m.