Triple
T8756016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RFC 4627 |
E208073
|
entity |
| Predicate | definesTopLevelType |
P56536
|
FINISHED |
| Object | JSON text must be either object or array |
—
|
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: JSON text must be either object or array | Statement: [RFC 4627, definesTopLevelType, JSON text must be either object or array]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: definesTopLevelType Context triple: [RFC 4627, definesTopLevelType, JSON text must be either object or array]
-
A.
definesComponent
Indicates that one entity specifies or establishes the structure, behavior, or characteristics of another entity as its component.
-
B.
definesType
chosen
Indicates that one entity specifies or establishes the type or classification of another entity.
-
C.
hasTopLevel
Indicates that one entity is the highest or primary element within a hierarchy or structure relative to another entity.
-
D.
definesMessageType
Indicates that one entity specifies or determines the message type classification or category for another entity.
-
E.
definitionType
Indicates the specific kind or category of definition that characterizes how one entity is defined in relation to another.
- 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_69ca835cd6b08190bd7c63db92f53c86 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5dd95e9481909cc88e8d91601754 |
completed | March 31, 2026, 11:50 p.m. |
| PD | Predicate disambiguation | batch_69cc5c160dac8190b4aeb4bf0529de52 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:40 p.m.