Triple
T159320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Commander-in-Chief of the Continental Army |
E3245
|
entity |
| Predicate | seatDuringWar |
P6855
|
FINISHED |
| Object | field headquarters in various locations |
—
|
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: field headquarters in various locations | Statement: [Commander-in-Chief of the Continental Army, seatDuringWar, field headquarters in various locations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seatDuringWar Context triple: [Commander-in-Chief of the Continental Army, seatDuringWar, field headquarters in various locations]
-
A.
enemyDuringWar
Indicates that one entity is an enemy of another specifically in the context of a particular war or armed conflict.
-
B.
associatedWithWar
Indicates a relationship where an entity is connected or related to war, such as by involvement, influence, cause, or context.
-
C.
sideInWorldWarII
Indicates that an entity was aligned with or participated on a particular side during World War II.
-
D.
wartimeParent
Indicates that one entity is the parent of another in the specific context of a wartime situation or period.
-
E.
militaryTheater
Indicates that an entity is a geographic or operational area where military operations or campaigns are conducted.
- 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_69a2527757ec819090b8becb2cf1a862 |
completed | Feb. 28, 2026, 2:27 a.m. |
| NER | Named-entity recognition | batch_69a25855baf48190a1b63f2e5865d957 |
completed | Feb. 28, 2026, 2:52 a.m. |
| PD | Predicate disambiguation | batch_69a25660c2a48190b4174d5e6da3cb9d |
completed | Feb. 28, 2026, 2:43 a.m. |
| PDg | Predicate description generation | batch_69a2580b00988190868ee24c0289cf70 |
completed | Feb. 28, 2026, 2:50 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.