Triple
T5562460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Libanius |
E145795
|
entity |
| Predicate | workCountApproximate |
P6221
|
FINISHED |
| Object | over 1500 letters |
—
|
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: over 1500 letters | Statement: [Libanius, workCountApproximate, over 1500 letters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workCountApproximate Context triple: [Libanius, workCountApproximate, over 1500 letters]
-
A.
numberOfWorks
chosen
Indicates the total count of works associated with a given entity.
-
B.
employsApproximateNumberOfPeople
Indicates that an entity employs a roughly estimated or approximate number of people, rather than an exact headcount.
-
C.
numberOfWorksCreated
Indicates the total count of creative works that an entity has produced or authored.
-
D.
workNumberInSet
Indicates that a particular work number belongs to, or is included within, a specified set of work numbers.
-
E.
bookmarkCount
Indicates the number of times an item has been bookmarked by users.
- 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_69c008fdae24819081aa002ad99cd966 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c0201ba0e88190acd5bfaa5973f2d8 |
completed | March 22, 2026, 5 p.m. |
| PD | Predicate disambiguation | batch_69c01b10bbf8819098655839c03b7832 |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:36 p.m.