Triple
T1290082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NORMARC |
E27525
|
entity |
| Predicate | formatType |
P131
|
FINISHED |
| Object | text-based record 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-based record format | Statement: [NORMARC, formatType, text-based record format]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formatType Context triple: [NORMARC, formatType, text-based record format]
-
A.
format
Indicates the specific arrangement, structure, or presentation style in which something is organized or expressed.
-
B.
formationType
Indicates the specific structural or organizational configuration in which something is arranged, created, or formed.
-
C.
mediaType
chosen
Indicates the format or category of media associated with an entity, such as text, image, audio, or video.
-
D.
formerType
Indicates that one entity previously had a certain type, role, or classification but no longer does.
-
E.
notableFormat
Indicates that something is particularly recognized or distinguished for being in a specific format.
- 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_69a496d4ec448190ad653b2590c46711 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c0d6af908190ade9c481cc6f0ad8 |
completed | March 1, 2026, 10:42 p.m. |
| PD | Predicate disambiguation | batch_69a4bee41ca08190b0ad6f7ea40c0b62 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:51 p.m.