Triple
T29866920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | STEP |
E758484
|
entity |
| Predicate | serializationFormatName |
P77631
|
FINISHED |
| Object | Clear Text Encoding of the Exchange Structure |
—
|
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: Clear Text Encoding of the Exchange Structure | Statement: [STEP, serializationFormatName, Clear Text Encoding of the Exchange Structure]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: serializationFormatName Context triple: [STEP, serializationFormatName, Clear Text Encoding of the Exchange Structure]
-
A.
serializationFormatFor
chosen
Indicates the data serialization format used to encode or represent a given resource or entity.
-
B.
storageFormat
Indicates the specific way in which data or content is physically or logically organized, encoded, and stored.
-
C.
serializationStyle
Indicates how data is formatted, structured, and encoded when being converted to or from a serialized representation.
-
D.
serializationBehavior
Indicates how an entity or its properties are converted to and from a serialized form (such as JSON or XML), including what is included, excluded, or transformed during that process.
-
E.
registryFormat
Indicates that one entity specifies the data format or schema used for registering another entity in a registry.
- 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_69f2245b4dec8190b85f664d918a00a5 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f6768a6b348190a88b3aa787249cb3 |
completed | May 2, 2026, 10:11 p.m. |
| PD | Predicate disambiguation | batch_69f66ac32b60819092290b2de35988d3 |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 29, 2026, 5:52 p.m.