Triple
T19909425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fragments of Papias |
E478505
|
entity |
| Predicate | numberOfBooksInOriginalWork |
P5481
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [Fragments of Papias, numberOfBooksInOriginalWork, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfBooksInOriginalWork Context triple: [Fragments of Papias, numberOfBooksInOriginalWork, 5]
-
A.
numberOfWorks
Indicates the total count of works associated with a given entity.
-
B.
numberOfBooks
chosen
Indicates the quantity of books associated with a given entity.
-
C.
intendedNumberOfBooks
Indicates the number of books that an agent plans or aims to have, produce, read, or otherwise be associated with, as opposed to the number actually realized.
-
D.
seriesNumberOfWorks
Indicates that an entity is assigned a specific position or sequence number within a series of related works.
-
E.
numberOfWorksCreated
Indicates the total count of creative works that an entity has produced or authored.
- 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_69d8e520682081909892916424699bd5 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6598e7d988190b8759100a147f2c1 |
completed | April 20, 2026, 4:51 p.m. |
| PD | Predicate disambiguation | batch_69e537ecda248190895c96afb6243823 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:53 p.m.