Triple
T4226366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Kay |
E94467
|
entity |
| Predicate | strengthRussia |
P55424
|
FINISHED |
| Object | about 40,000 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: about 40,000 soldiers | Statement: [Battle of Kay, strengthRussia, about 40,000 soldiers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: strengthRussia Context triple: [Battle of Kay, strengthRussia, about 40,000 soldiers]
-
A.
strengthSweden
Indicates the level or degree of strength associated with Sweden in a given context.
-
B.
strengthRussoAustrian
Indicates the relative military or political strength between Russian and Austrian forces or interests in a given context.
-
C.
RussianObjective
Indicates that an entity has an objective, goal, or target specifically related to Russia (e.g., Russian interests, territory, institutions, or actors).
-
D.
strengthFrance
Indicates a relationship where a level, measure, or attribute of strength is associated specifically with France.
-
E.
strengthDenmark
Indicates a measure or characterization of Denmark’s power, influence, or robustness 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_69b3453700a08190ae88792e3dc63207 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e4ed34c819081d1479ce87cd78c |
completed | March 12, 2026, 11:37 p.m. |
| PD | Predicate disambiguation | batch_69b347f1d7b48190bd8974c03c7dc937 |
completed | March 12, 2026, 11:10 p.m. |
| PDg | Predicate description generation | batch_69b34e4ace648190acf911853d4fcf86 |
completed | March 12, 2026, 11:37 p.m. |
Created at: March 12, 2026, 11:04 p.m.