Triple
T17628572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Second Battle of Kernstown |
E429912
|
entity |
| Predicate | engagementSequence |
P128331
|
FINISHED |
| Object | followed Early’s operations against Washington, D.C. |
—
|
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: followed Early’s operations against Washington, D.C. | Statement: [Second Battle of Kernstown, engagementSequence, followed Early’s operations against Washington, D.C.]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: engagementSequence Context triple: [Second Battle of Kernstown, engagementSequence, followed Early’s operations against Washington, D.C.]
-
A.
engagementPhase
Indicates the specific stage or phase an ongoing interaction, project, or relationship is currently in within its overall lifecycle.
-
B.
engagementStart
Indicates the point in time or event at which an engagement, interaction, or formal involvement between parties begins.
-
C.
engagementOf
Indicates a relationship where an engagement, commitment, or formal involvement is associated with or attributed to a specific entity.
-
D.
engagementTo
Indicates a formal promise or commitment between two entities to enter into a future partnership or binding relationship.
-
E.
engagementControl
Indicates a relationship where one entity manages, regulates, or influences the level, manner, or conditions of another entity’s participation or involvement in an interaction or activity.
- 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_69d889e37f308190a6aa0a69daff86c7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46dbf59dc8190a56aa4a2449b2e2e |
completed | April 19, 2026, 5:53 a.m. |
| PD | Predicate disambiguation | batch_69e3cdd7da34819099bc9481c5a79bab |
completed | April 18, 2026, 6:30 p.m. |
| PDg | Predicate description generation | batch_69e3cfaac2b881909e1140339eb1a0dd |
completed | April 18, 2026, 6:38 p.m. |
Created at: April 10, 2026, 5:52 a.m.