Triple
T2532745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Landen (Neerwinden) (1693) |
E56197
|
entity |
| Predicate | FrenchCommanderTitle |
P2084
|
FINISHED |
| Object | Marshal of France |
—
|
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: Marshal of France | Statement: [Battle of Landen (Neerwinden) (1693), FrenchCommanderTitle, Marshal of France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: FrenchCommanderTitle Context triple: [Battle of Landen (Neerwinden) (1693), FrenchCommanderTitle, Marshal of France]
-
A.
FrenchCommander
Indicates that an entity serves as a military commander associated with France.
-
B.
commandingTitleOfCharlesMartel
Indicates that the object is a commanding or honorific title held by Charles Martel.
-
C.
commanderTitle
chosen
Indicates the official rank or title held by the person who commands or leads a given entity.
-
D.
fleetCommander (French)
Indicates that one entity serves as the commanding officer in charge of a fleet associated with another entity.
-
E.
FrenchRole
Indicates a role or position that an entity holds specifically within a French context (e.g., in France or related to French institutions, culture, or language).
- 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_69ab4a49b6508190bc467fbef4bac334 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd279cf108190b03fb6e0265f39d9 |
completed | March 7, 2026, 7:23 a.m. |
| PD | Predicate disambiguation | batch_69abd0c2e34c8190a914d5c2afba147c |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:47 p.m.