Triple
T7787762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Schöngrabern |
E187289
|
entity |
| Predicate | involvedCommanderRank |
P30999
|
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 Schöngrabern, involvedCommanderRank, Marshal of France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: involvedCommanderRank Context triple: [Battle of Schöngrabern, involvedCommanderRank, Marshal of France]
-
A.
hasCommanderRank
chosen
Indicates that an entity holds the military or organizational rank of commander within a specified hierarchy or context.
-
B.
commanderInChiefRank
Indicates that an entity holds the highest-ranking leadership position over a military or armed forces organization.
-
C.
commandersInvolved
Indicates that specific commanders participated in, oversaw, or were directly involved in a particular event, operation, or engagement.
-
D.
militaryRank
Indicates that one entity holds a specific position or level within a hierarchical military ranking system relative to another entity.
-
E.
isMilitaryRank
Indicates that one entity holds a specific position or level within a formal military hierarchy in relation to another.
- 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_69ca82af2d2c8190963861f5e0b8bf21 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cae7e779ec8190b77296d9c2ac3210 |
completed | March 30, 2026, 9:15 p.m. |
| PD | Predicate disambiguation | batch_69caa488532c819093ac40bba0b3c7ef |
completed | March 30, 2026, 4:27 p.m. |
Created at: March 30, 2026, 4:24 p.m.