Triple
T23799930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Foundation Year Program |
E588641
|
entity |
| Predicate | readingFormat |
P102437
|
FINISHED |
| Object | primary texts |
—
|
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: primary texts | Statement: [Foundation Year Program, readingFormat, primary texts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: readingFormat Context triple: [Foundation Year Program, readingFormat, primary texts]
-
A.
readingFeature
Indicates that an entity possesses a characteristic, capability, or attribute specifically related to reading.
-
B.
format
Indicates the specific arrangement, structure, or presentation style in which something is organized or expressed.
-
C.
packageFormat
Indicates the format or type in which a package is structured, encoded, or delivered.
-
D.
presentedInFormat
chosen
Indicates that something is expressed, delivered, or made available using a particular format or representation.
-
E.
readingSystem
Indicates a system or device that presents, interprets, or processes written or digital content for a user.
- 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_69e25d15db58819092ac1e6791696fd9 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c6e0814081908a81e1ede05ab810 |
completed | April 29, 2026, 8:52 a.m. |
| PD | Predicate disambiguation | batch_69f155fe300481909bd617443228df65 |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 17, 2026, 7:52 p.m.