Triple
T4189939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LOM |
E89008
|
entity |
| Predicate | hasAcronymType |
P8075
|
FINISHED |
| Object | military award abbreviation |
—
|
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: military award abbreviation | Statement: [LOM, hasAcronymType, military award abbreviation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAcronymType Context triple: [LOM, hasAcronymType, military award abbreviation]
-
A.
hasCommonAcronymUsage
Indicates that two terms share the same commonly used acronym in practice.
-
B.
hasAcronymOrigin
Indicates that an acronym is derived from or originates from a specific longer expression or name.
-
C.
hasNameAbbreviation
chosen
Indicates that an entity is associated with a shortened or abbreviated form of its full name.
-
D.
hasAcronymExpansionLanguage
Indicates that a specified language is the language in which an acronym’s full expansion is expressed.
-
E.
hasAppellationType
Indicates that an entity’s name or title is associated with a specific category or type of appellation.
- 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_69aed9569a4481908b6c1fcec2a11e21 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af04b009dc8190abda3f149a5b16fa |
completed | March 9, 2026, 5:34 p.m. |
| PD | Predicate disambiguation | batch_69af01935064819096b7619f42e164dd |
completed | March 9, 2026, 5:21 p.m. |
Created at: March 9, 2026, 3:46 p.m.