Triple
T6903238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pandectae |
E159543
|
entity |
| Predicate | consistsOfApproximateNumberOfBooks |
P5481
|
FINISHED |
| Object | 50 |
—
|
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: 50 | Statement: [Pandectae, consistsOfApproximateNumberOfBooks, 50]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: consistsOfApproximateNumberOfBooks Context triple: [Pandectae, consistsOfApproximateNumberOfBooks, 50]
-
A.
numberOfBooks
chosen
Indicates the quantity of books associated with a given entity.
-
B.
approximateNumberOfVerses
Indicates an estimated or approximate count of verses associated with an entity.
-
C.
articleCountApprox
Indicates that the relationship specifies an approximate number of articles associated with an entity.
-
D.
numberOfManuscriptsApprox
Indicates an approximate count of manuscripts associated with an entity.
-
E.
approximateNumberOfTractates
Indicates a relationship where an entity is associated with an estimated or non-exact count of tractates linked to it.
- 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_69c6883822e0819091e321526f20ae0a |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6d988a5b48190a9238047e86f314c |
completed | March 27, 2026, 7:24 p.m. |
| PD | Predicate disambiguation | batch_69c6d7b7681481909ec50509b19fcf81 |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:25 p.m.