Triple
T14780749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tales of Dunk and Egg |
E347381
|
entity |
| Predicate | numberOfPublishedParts |
P97683
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Tales of Dunk and Egg, numberOfPublishedParts, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfPublishedParts Context triple: [Tales of Dunk and Egg, numberOfPublishedParts, 3]
-
A.
numberOfCompletedParts
Indicates the count of parts within a whole that have been finished or fully completed.
-
B.
hasNumberOfPartsInWholeWork
chosen
Indicates that an entity specifies how many component parts are contained within a complete work.
-
C.
numberOfPartitions
Indicates the total count of distinct partitions into which a given set, resource, or structure is divided.
-
D.
isPublishedWith
Indicates that an entity is released or made publicly available together with another specified entity, typically as part of the same publication or release event.
-
E.
isPublished
Indicates that an item has been formally made available to the public through some publishing process.
- 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_69d822e9b9e08190bedcc31a163fda82 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deca9c7cac8190ba900df95e42e318 |
completed | April 14, 2026, 11:15 p.m. |
| PD | Predicate disambiguation | batch_69de8c090d1081909b5a9bf437499d6c |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:31 a.m.