Triple
T34434268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NATO Allied reporting name system |
E883909
|
entity |
| Predicate | SSMNamingRule |
P172869
|
FINISHED |
| Object | two‑part names with SS‑number plus word |
—
|
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: two‑part names with SS‑number plus word | Statement: [NATO Allied reporting name system, SSMNamingRule, two‑part names with SS‑number plus word]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: SSMNamingRule Context triple: [NATO Allied reporting name system, SSMNamingRule, two‑part names with SS‑number plus word]
-
A.
nominalRule
chosen
Indicates that something functions as a naming or labeling rule that defines how a term, label, or category should be assigned or interpreted.
-
B.
hasRuleName
Indicates that an entity is associated with a specific rule identified by a particular name.
-
C.
namingStructure
Indicates a relationship where one entity defines, organizes, or constrains the naming or label format used for another entity.
-
D.
notationRule
Indicates a rule or convention governing how something should be represented or written in a particular notation system.
-
E.
labelingRule
Indicates that a specified rule or criterion is used to assign a particular label or category to an 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_69f349c548d88190978e2a82502c03d0 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71947ad88819082ab9d85dd493b01 |
completed | May 3, 2026, 9:45 a.m. |
| PD | Predicate disambiguation | batch_69f71824431081908d9685d2462ea242 |
completed | May 3, 2026, 9:40 a.m. |
Created at: May 1, 2026, 2 a.m.