Triple
T5828394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Tale of Mrs. Tiggy-Winkle |
E129284
|
entity |
| Predicate | intendedReadingAge |
P20179
|
FINISHED |
| Object | early childhood |
—
|
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: early childhood | Statement: [The Tale of Mrs. Tiggy-Winkle, intendedReadingAge, early childhood]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: intendedReadingAge Context triple: [The Tale of Mrs. Tiggy-Winkle, intendedReadingAge, early childhood]
-
A.
intendedReadingLevel
chosen
Indicates the reading proficiency or audience level that a text or resource is designed or meant to be understood by.
-
B.
readingAid
Indicates that one entity assists or facilitates another entity’s ability to read or engage in reading activities.
-
C.
containsReading
Indicates that one entity includes or encompasses a particular reading (such as a measurement, value, or interpretation) within it.
-
D.
requiredReadingFor
Indicates that one item (such as a text or resource) must be read as a mandatory prerequisite or component for engaging with, understanding, or completing another item (such as a course, assignment, or program).
-
E.
hasYoungReadersEdition
Indicates that a work has a specially adapted edition intended for young or juvenile readers.
- 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_69c00849d55481908b4f9f5543e0bf6d |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c044ab0a048190b84be40fb13c0f50 |
completed | March 22, 2026, 7:36 p.m. |
| PD | Predicate disambiguation | batch_69c03341e5888190a5f219b6f92cb161 |
completed | March 22, 2026, 6:21 p.m. |
Created at: March 22, 2026, 3:53 p.m.