Triple
T8205933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clinias of Crete |
E191686
|
entity |
| Predicate | appearsInWorkNumber |
P81490
|
FINISHED |
| Object | one of three main interlocutors in Laws |
—
|
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: one of three main interlocutors in Laws | Statement: [Clinias of Crete, appearsInWorkNumber, one of three main interlocutors in Laws]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appearsInWorkNumber Context triple: [Clinias of Crete, appearsInWorkNumber, one of three main interlocutors in Laws]
-
A.
appearsInSectionOfWork
Indicates that one entity is contained within or shows up in a specific section or part of a larger work.
-
B.
hasNumberWithinWork
Indicates that a specific number or numeric value is contained, referenced, or used within a particular work (such as a document, publication, or creative piece).
-
C.
workNumberInSet
Indicates that a particular work number belongs to, or is included within, a specified set of work numbers.
-
D.
workNumbering
Indicates that a specific numbering or cataloging identifier is assigned to a work within a larger collection or system.
-
E.
portrayedInWork
Indicates that an entity is depicted or represented as a character, figure, or subject within a specific creative work.
- F. None of above. chosen
Provenance (4 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_69ca82c7f3e08190857bf1fc63b2a10c |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb726a301c8190a4b2d3d184b7e448 |
completed | March 31, 2026, 7:06 a.m. |
| PD | Predicate disambiguation | batch_69cb36ad01ac81909609b15f6a6c8581 |
completed | March 31, 2026, 2:51 a.m. |
| PDg | Predicate description generation | batch_69cb4ab5162c8190bddd696078689895 |
completed | March 31, 2026, 4:16 a.m. |
Created at: March 30, 2026, 5:43 p.m.