Triple
T14982853
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Demologos |
E373622
|
entity |
| Predicate | statusDuringWarOf1812 |
P19322
|
FINISHED |
| Object | not completed in time to see combat |
—
|
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: not completed in time to see combat | Statement: [Demologos, statusDuringWarOf1812, not completed in time to see combat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusDuringWarOf1812 Context triple: [Demologos, statusDuringWarOf1812, not completed in time to see combat]
-
A.
positionOnWarOf1812
Indicates a stance, opinion, or alignment that an entity holds regarding the War of 1812.
-
B.
statusDuringWar
chosen
Indicates the role, condition, or classification an entity held specifically during a period of war.
-
C.
stateDuringWar
Indicates that a state or condition exists specifically in the context of, or for the duration of, a war or armed conflict.
-
D.
legalStatusAfterWar
Indicates the legal condition or classification assigned to an entity as a consequence of, or following the conclusion of, a war or armed conflict.
-
E.
supportedDuringWar
Indicates that one entity provided assistance, resources, or backing to another entity specifically during a time of war.
- 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_69d85ccbbcd48190acb56e7cf104d8ad |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6fe42a081909308f788fdf024d5 |
completed | April 15, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69de9a6169b48190a679609febd2d0e3 |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:52 a.m.