Triple
T38048759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Alexandre Manette |
E949694
|
entity |
| Predicate | firstSeenAt |
—
|
GENERATED |
| Object | Defarges’ wine shop in Paris |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstSeenAt Context triple: [Dr. Alexandre Manette, firstSeenAt, Defarges’ wine shop in Paris]
-
A.
firstUsedAt
Indicates the time or place at which something was initially used or put into operation.
-
B.
firstDetectedOn
Indicates the date or time when something was initially observed, discovered, or recorded for the first time.
-
C.
firstReachedDate
Indicates the date on which a particular entity first achieved, accessed, or arrived at a specified state, location, or milestone.
-
D.
firstAppearedAt
chosen
Indicates the point in time or specific event at which an entity was first introduced, observed, or became known.
-
E.
firstCreatedAt
Indicates the time or date at which an entity was initially created for the first time.
- F. None of above.
Provenance (1 batch)
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_69f76f000cf081908c11fb5443b392e6 |
completed | May 3, 2026, 3:51 p.m. |
Created at: May 3, 2026, 4:20 p.m.