Triple
T29750666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | County of Nevers |
E752884
|
entity |
| Predicate | firstKnownCount |
P203172
|
FINISHED |
| Object | Renaud I of Nevers |
—
|
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: Renaud I of Nevers | Statement: [County of Nevers, firstKnownCount, Renaud I of Nevers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstKnownCount Context triple: [County of Nevers, firstKnownCount, Renaud I of Nevers]
-
A.
numberOfCounts
Indicates the total quantity or tally of discrete occurrences, items, or instances associated with an entity or event.
-
B.
numberOfKnownMembers
Indicates the count of members within a group or set whose identities are known or have been explicitly determined.
-
C.
firstEncounteredBy
Indicates that one entity is the person or agent who initially discovered, met, or came across the other entity for the first time.
-
D.
lastKnownNumberOfMembers
Indicates the most recently recorded count of members associated with an entity.
-
E.
bestKnownSingle
Indicates that the referenced item is the most prominent or widely recognized single associated with an entity (such as an artist or group).
- 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_69f0d62c84cc8190846f80ae04fdf8ec |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_6a013632a3048190b05716d803f34716 |
completed | May 11, 2026, 1:51 a.m. |
| PD | Predicate disambiguation | batch_6a01309582e48190a05d47d96ffb7a46 |
completed | May 11, 2026, 1:27 a.m. |
| PDg | Predicate description generation | batch_6a013631f4d48190b1e79e8ff313d3d2 |
completed | May 11, 2026, 1:51 a.m. |
Created at: April 28, 2026, 7:53 p.m.