Triple
T21613558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gadebusch 1712 |
E533372
|
entity |
| Predicate | hasSwedishCommanderRank |
P90400
|
FINISHED |
| Object | Field Marshal |
—
|
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: Field Marshal | Statement: [Gadebusch 1712, hasSwedishCommanderRank, Field Marshal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSwedishCommanderRank Context triple: [Gadebusch 1712, hasSwedishCommanderRank, Field Marshal]
-
A.
hasCommanderRank
Indicates that an entity holds the military or organizational rank of commander within a specified hierarchy or context.
-
B.
hasRankForCommandant
Indicates that an entity holds the specific rank required to serve as a commandant.
-
C.
rankOfNotableCommander
chosen
Indicates the military or organizational rank held by a notable commander associated with an entity.
-
D.
combatantCommanderSweden
Indicates that the referenced entity serves as a commander of Swedish combatant forces in a conflict or military context.
-
E.
opposingCommanderRank
Indicates that the related entity holds a specific military rank as the commander of the opposing or enemy force in a conflict or engagement.
- 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_69e0c46411108190bba0d4176dffc9f3 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef3ba8d7cc8190a59706896a4c073a |
completed | April 27, 2026, 10:34 a.m. |
| PD | Predicate disambiguation | batch_69e69665fe8c8190af7e38785db188b2 |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:33 p.m.