Triple
T38085949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Okehazama no Tatakai |
E950976
|
entity |
| Predicate | approximateStrengthOda |
P2981
|
FINISHED |
| Object | around 2,000–3,000 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: around 2,000–3,000 troops | Statement: [Okehazama no Tatakai, approximateStrengthOda, around 2,000–3,000 troops]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateStrengthOda Context triple: [Okehazama no Tatakai, approximateStrengthOda, around 2,000–3,000 troops]
-
A.
estimatedStrength
chosen
Indicates that a value represents an approximate or inferred level, magnitude, or intensity of something rather than a precisely measured strength.
-
B.
availableStrength
Indicates the amount of strength or power that an entity currently has ready for use or deployment.
-
C.
approximateRoyalStrength
Indicates an estimated or inferred level of royal power, influence, or capability rather than a precisely measured one.
-
D.
initialStrength
Indicates the original or starting level of strength associated with an entity before any changes or influences occur.
-
E.
hasTypicalStrength
Indicates that an entity possesses the usual or characteristic level of strength expected for its kind or context.
- 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_69f76f03a3608190a73fd6df87c792a8 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fff09dae088190bd8460060d778feb |
completed | May 10, 2026, 2:42 a.m. |
| PD | Predicate disambiguation | batch_69fff0027c5c8190baa5c7a15852cbe0 |
completed | May 10, 2026, 2:40 a.m. |
Created at: May 3, 2026, 4:21 p.m.