Triple
T25194019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sophia Peletier |
E630953
|
entity |
| Predicate | residenceDuringOutbreak |
P49534
|
FINISHED |
| Object | Atlanta metropolitan area |
—
|
NE NERFINISHED |
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: Atlanta metropolitan area | Statement: [Sophia Peletier, residenceDuringOutbreak, Atlanta metropolitan area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: residenceDuringOutbreak Context triple: [Sophia Peletier, residenceDuringOutbreak, Atlanta metropolitan area]
-
A.
residenceDuringEvent
chosen
Indicates that an entity resides or is located at a particular place for the duration of a specified event.
-
B.
residenceDuringLife
Indicates that an entity lived or resided in a particular place during some period of its lifetime.
-
C.
residenceBeforePlague
Indicates that one entity lived or was located in a particular place prior to the occurrence of a specified plague.
-
D.
residencyAt
Indicates that an entity lives or has an established residence at a particular location or address.
-
E.
residedOn
Indicates that an entity lived or had its primary dwelling at a specific location during a certain period.
- 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_69e75a8a6d088190ba1e82a4345225e7 |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f55e519978819087a1676564a74630 |
completed | May 2, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69f4a0edd10c81908a052ab864d57c54 |
completed | May 1, 2026, 12:47 p.m. |
Created at: April 21, 2026, 12:45 p.m.