Triple
T744123
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belgian monarchy |
E15303
|
entity |
| Predicate | symbolicFunction |
P14175
|
FINISHED |
| Object | represents Belgium abroad |
—
|
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: represents Belgium abroad | Statement: [Belgian monarchy, symbolicFunction, represents Belgium abroad]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: symbolicFunction Context triple: [Belgian monarchy, symbolicFunction, represents Belgium abroad]
-
A.
mathematicallyExpressedBy
Indicates that something (such as a concept, quantity, or relationship) is represented or captured using a specific mathematical expression or formulation.
-
B.
symbolicContinuity
Indicates that there is a consistent, ongoing use or preservation of the same symbols or symbolic forms across time, contexts, or instances.
-
C.
formalFunction
chosen
Indicates that an entity serves an official or designated role or purpose within a formal structure, system, or context.
-
D.
formerFunction
Indicates that an entity previously held a specific role, position, or function but no longer does so.
-
E.
symbolType
Indicates the classification or category of a symbol based on its role, form, or function within a given system.
- 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_69a49358aa308190adbc9b5a0a2adcf9 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a610ba9881908b4e5e7dcc6ed0f5 |
completed | March 1, 2026, 8:48 p.m. |
| PD | Predicate disambiguation | batch_69a4a4ff10608190bfd60b4a1cb38f7d |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:37 p.m.