Triple
T4287435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Tampere |
E97302
|
entity |
| Predicate | whiteForcesOrigin |
P47609
|
FINISHED |
| Object | Finnish government troops |
—
|
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: Finnish government troops | Statement: [Battle of Tampere, whiteForcesOrigin, Finnish government troops]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: whiteForcesOrigin Context triple: [Battle of Tampere, whiteForcesOrigin, Finnish government troops]
-
A.
whiteForcesLeader
Indicates that the subject is the leader or commander of the white side’s forces in a conflict or game.
-
B.
nativeForces
chosen
Indicates that certain forces or troops are indigenous to, or originate from, a particular place, group, or population.
-
C.
opposingForce
Indicates a relationship where one entity actively resists, counters, or works against the actions, goals, or influence of another entity.
-
D.
castleColor
Indicates that a castle has a specific color.
-
E.
numberOfForcesAtStart
Indicates the quantity of forces present or applied at the initial point or beginning of a process, event, or scenario.
- 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_69b3454595848190a0e6bbb6a2bea040 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3505ef9fc81909c73e64bf77052ce |
completed | March 12, 2026, 11:46 p.m. |
| PD | Predicate disambiguation | batch_69b347fc4c0c8190a7fcd814e27308a5 |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:08 p.m.