Triple
T24906098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Spichern |
E623712
|
entity |
| Predicate | GermanForceStrength |
P157222
|
FINISHED |
| Object | approximately 37,000 soldiers |
—
|
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: approximately 37,000 soldiers | Statement: [Battle of Spichern, GermanForceStrength, approximately 37,000 soldiers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: GermanForceStrength Context triple: [Battle of Spichern, GermanForceStrength, approximately 37,000 soldiers]
-
A.
USForceStrength
Indicates the level or magnitude of military forces deployed or available by the United States in a given context.
-
B.
commandingForce2Strength
Indicates that a commanding force possesses or exerts a particular level or measure of strength.
-
C.
PrussianForceType
Indicates the specific type or classification of a military force associated with Prussia.
-
D.
commandingForceSize
Indicates the size or magnitude of the military or organizational force that is exercising command or control in a given context.
-
E.
UNForcesStrength
Indicates the size or level of military capability of United Nations forces involved in a given context.
- 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_69e2fac797cc8190b30d77f4121099ac |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f4236bc540819096275eb784a08719 |
completed | May 1, 2026, 3:52 a.m. |
| PD | Predicate disambiguation | batch_69f4210130d08190ae30b7943f7a0bbc |
completed | May 1, 2026, 3:41 a.m. |
| PDg | Predicate description generation | batch_69f423637bec8190a1701421ac86a3b7 |
completed | May 1, 2026, 3:52 a.m. |
Created at: April 18, 2026, 5:27 a.m.