Triple
T24526794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MADS |
E606690
|
entity |
| Predicate | primarySerializationFormat |
P77631
|
FINISHED |
| Object | XML |
—
|
NE NERFINISHED |
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: XML | Statement: [MADS, primarySerializationFormat, XML]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primarySerializationFormat Context triple: [MADS, primarySerializationFormat, XML]
-
A.
primarySerialization
Indicates that one representation or format of an entity is designated as its main or default form for storage, transmission, or processing.
-
B.
originalSerialization
Indicates that one entity is the initial or source serialized form from which another serialized representation is derived.
-
C.
serializationFormatFor
chosen
Indicates the data serialization format used to encode or represent a given resource or entity.
-
D.
originalSerializationMedium
Indicates the medium or format in which something was first serialized or originally published in installments.
-
E.
storageFormat
Indicates the specific way in which data or content is physically or logically organized, encoded, and stored.
- 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_69e2c4c85778819085f5da9af3569ad5 |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6b0ca8081908d931aec560eae56 |
completed | April 30, 2026, 12:47 a.m. |
Created at: April 18, 2026, 2:25 a.m.