Triple
T8143400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | house of Cephalus in Piraeus |
E190149
|
entity |
| Predicate | settingOfEvent |
P1957
|
FINISHED |
| Object | initial conversation between Socrates and Cephalus |
—
|
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: initial conversation between Socrates and Cephalus | Statement: [house of Cephalus in Piraeus, settingOfEvent, initial conversation between Socrates and Cephalus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: settingOfEvent Context triple: [house of Cephalus in Piraeus, settingOfEvent, initial conversation between Socrates and Cephalus]
-
A.
settingOfActivities
Indicates that a particular place or context serves as the environment in which certain activities occur or are carried out.
-
B.
eventUse
Indicates that an event involves the use or utilization of a particular entity (e.g., a resource, tool, or method) as part of its occurrence.
-
C.
setting
chosen
Indicates the place, time, or context in which an event, action, or interaction occurs.
-
D.
eventIn
Indicates that an event occurs within, or is situated in, a specific location, context, or larger event.
-
E.
event
Indicates that there exists an occurrence or happening involving one or more entities, typically situated in time and possibly space.
- 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_69ca82bd9900819099477cdc2eb4244f |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4444bb248190beaaa2ce4b8f3eaa |
completed | March 31, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69cb369c0d0481908762c488d7f77e74 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:36 p.m.