Triple
T37729897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Weapon Ten |
E940126
|
entity |
| Predicate | isCodenamedFor |
P32834
|
FINISHED |
| Object | tenth iteration of Weapon Plus |
—
|
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: tenth iteration of Weapon Plus | Statement: [Weapon Ten, isCodenamedFor, tenth iteration of Weapon Plus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCodenamedFor Context triple: [Weapon Ten, isCodenamedFor, tenth iteration of Weapon Plus]
-
A.
hasCodenameLanguage
Indicates that a codename is expressed or defined in a particular language.
-
B.
relatedCodename
chosen
Indicates that one entity has an associated or connected codename that is contextually related to it.
-
C.
endUseAsCodename
Indicates that an entity stops being used as a codename for another entity or concept.
-
D.
usesCodeName
Indicates that one entity refers to another entity by a code name or alias instead of its real or full designation.
-
E.
servesCodename
Indicates that one entity provides or uses another entity under a specific codename or alias.
- 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_69f76edefd048190a32212c5c3919531 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbaef0cec881908c2742d77d145901 |
completed | May 6, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69fbadf632ec8190b14991c971258307 |
completed | May 6, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:18 p.m.