Triple
T281315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crito |
E5359
|
entity |
| Predicate | dialogueSetting |
P1957
|
FINISHED |
| Object | Socrates' prison cell in Athens |
—
|
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: Socrates' prison cell in Athens | Statement: [Crito, dialogueSetting, Socrates' prison cell in Athens]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dialogueSetting Context triple: [Crito, dialogueSetting, Socrates' prison cell in Athens]
-
A.
setting
chosen
Indicates the place, time, or context in which an event, action, or interaction occurs.
-
B.
theme
Indicates the entity that is the primary participant or content affected or characterized by an action, event, or state.
-
C.
settingCity
Indicates that a work or event takes place in, or is primarily located within, a particular city.
-
D.
meetingType
Indicates the specific category or format of a meeting that characterizes how it is organized or conducted.
-
E.
mode
Indicates the manner, method, or way in which an action, process, or interaction is carried out or occurs.
- 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_69a257e6c8788190987dfe705ca2912a |
completed | Feb. 28, 2026, 2:50 a.m. |
| NER | Named-entity recognition | batch_69a25e0a23c0819083abee28b2dea49c |
completed | Feb. 28, 2026, 3:16 a.m. |
| PD | Predicate disambiguation | batch_69a25b77e028819087e606fc321219f7 |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:59 a.m.