Triple
T2417171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Seonghwan |
E52331
|
entity |
| Predicate | JapaneseForceStrength |
P37795
|
FINISHED |
| Object | approximately 4,000 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 4,000 soldiers | Statement: [Battle of Seonghwan, JapaneseForceStrength, approximately 4,000 soldiers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: JapaneseForceStrength Context triple: [Battle of Seonghwan, JapaneseForceStrength, approximately 4,000 soldiers]
-
A.
commandingForce2Strength
Indicates that a commanding force possesses or exerts a particular level or measure of strength.
-
B.
objectiveOfJapaneseForces
Indicates that a specified target, goal, or aim is the military objective pursued by Japanese forces.
-
C.
commandingForce1Strength
Indicates that one entity has a certain level or measure of strength in its role as the primary commanding force over another entity or situation.
-
D.
besiegingForce
Indicates a military group that is surrounding and attacking a target location or force in an attempt to capture or subdue it.
-
E.
JapaneseAirCommander
Indicates that one entity serves as a Japanese air force commander in relation to another entity or 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_69ab495622948190bc6bc6e4cddaf645 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abc94eafd481909eeff689e5bf5960 |
completed | March 7, 2026, 6:44 a.m. |
| PD | Predicate disambiguation | batch_69abc5a6cbd0819086c0716e266b7ebb |
completed | March 7, 2026, 6:28 a.m. |
| PDg | Predicate description generation | batch_69abc6011e348190b6f9c038c7559289 |
completed | March 7, 2026, 6:30 a.m. |
Created at: March 6, 2026, 9:42 p.m.