Triple
T10669762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Second Battle of Newbury |
E251454
|
entity |
| Predicate | tacticalCharacter |
P81531
|
FINISHED |
| Object | hard-fought |
—
|
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: hard-fought | Statement: [Second Battle of Newbury, tacticalCharacter, hard-fought]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tacticalCharacter Context triple: [Second Battle of Newbury, tacticalCharacter, hard-fought]
-
A.
tacticalStyle
Indicates the characteristic way in which an entity plans and executes actions or maneuvers to achieve its objectives.
-
B.
tacticalPurpose
Indicates the specific tactical objective or intended operational role that an action, asset, or decision is meant to achieve within a broader plan or mission.
-
C.
associatedWithTacticalAcuity
chosen
Indicates a relationship where an entity is linked to, characterized by, or demonstrates tactical acuity in planning or executing actions.
-
D.
targetsCharacter
Indicates that one entity is the intended focus or target of another entity’s action, effect, or behavior.
-
E.
militaryCharacteristic
Indicates that one entity possesses a specific military-related attribute, quality, or feature in relation to another entity 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_69d6aa5b0d2881909584b20efc5877f0 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6f861513881909b44c711371086b7 |
completed | April 9, 2026, 12:52 a.m. |
| PD | Predicate disambiguation | batch_69d6dd8a93208190a573061387e2aebb |
completed | April 8, 2026, 10:58 p.m. |
Created at: April 8, 2026, 9:09 p.m.