Triple
T21141503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USS Kearsarge |
E520939
|
entity |
| Predicate | resultOfEngagementWith CSS Alabama |
P143022
|
FINISHED |
| Object | CSS Alabama sunk |
—
|
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: CSS Alabama sunk | Statement: [USS Kearsarge, resultOfEngagementWith CSS Alabama, CSS Alabama sunk]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: resultOfEngagementWith CSS Alabama Context triple: [USS Kearsarge, resultOfEngagementWith CSS Alabama, CSS Alabama sunk]
-
A.
styleContext
Indicates that one entity provides the stylistic or formatting context within which another entity is interpreted or rendered.
-
B.
styleLanguage
Indicates a relationship where one entity specifies the language or linguistic style in which another entity is expressed, formatted, or presented.
-
C.
sideAStyle
Indicates the stylistic or design characteristics applied specifically to side A of an object or entity in a relationship.
-
D.
typicalValueForAluminum
Indicates the standard or commonly accepted value (such as a property or parameter) that is characteristic for aluminum in a given context.
-
E.
uniformStyle
Indicates that the related entities share the same or a consistent style, pattern, or formatting.
- 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_69e0b50c6a848190a4e525a77a319b8a |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e723f96cf081909d10309e08aeca93 |
completed | April 21, 2026, 7:15 a.m. |
| PD | Predicate disambiguation | batch_69e5f5ed6c8c8190b31092a5d4c3de5d |
completed | April 20, 2026, 9:46 a.m. |
| PDg | Predicate description generation | batch_69e5f993240c8190847c0b08e65726c8 |
completed | April 20, 2026, 10:01 a.m. |
Created at: April 16, 2026, 2:57 p.m.