Triple
T25920000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CINCUSACOM |
E653142
|
entity |
| Predicate | shortNameStyle |
P24474
|
FINISHED |
| Object | U.S. military acronym |
—
|
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: U.S. military acronym | Statement: [CINCUSACOM, shortNameStyle, U.S. military acronym]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shortNameStyle Context triple: [CINCUSACOM, shortNameStyle, U.S. military acronym]
-
A.
shortFormat
Indicates that something is presented in a condensed or abbreviated form compared to its full or standard representation.
-
B.
shortFormType
Indicates that one entity is a shortened, abbreviated, or otherwise condensed form or variant of another entity.
-
C.
abbreviationStyle
chosen
Indicates the specific way in which something is abbreviated, such as the format, punctuation, or capitalization used in its shortened form.
-
D.
isShortName
Indicates that one name is an abbreviated or shorter form of another name.
-
E.
commonShortNameFor
Indicates that one entity is a commonly used short or abbreviated name for another entity.
- 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_69e7ab3e025c819086771607157f0015 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f603e894f8819087e42e19a711151a |
completed | May 2, 2026, 2:02 p.m. |
| PD | Predicate disambiguation | batch_69f4a10480748190a2e67bd399fc435d |
completed | May 1, 2026, 12:48 p.m. |
Created at: April 22, 2026, 8:32 a.m.