Triple
T8756264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HJSON |
E208078
|
entity |
| Predicate | serializationFormatType |
P76884
|
FINISHED |
| Object | text format |
—
|
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: text format | Statement: [HJSON, serializationFormatType, text format]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: serializationFormatType Context triple: [HJSON, serializationFormatType, text format]
-
A.
serializationFormatFor
Indicates the data serialization format used to encode or represent a given resource or entity.
-
B.
serializationStyle
chosen
Indicates how data is formatted, structured, and encoded when being converted to or from a serialized representation.
-
C.
serialized
Indicates that one entity has been converted into a sequential, storable or transmittable data format representing its structure or state.
-
D.
serializedIn
Indicates that something is published or presented in sequential installments within a larger medium or series.
-
E.
originalSerialization
Indicates that one entity is the initial or source serialized form from which another serialized representation is derived.
- 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.