Triple
T1900439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pompey the Great |
E37677
|
entity |
| Predicate | consulship |
P32960
|
FINISHED |
| Object | consul of 70 BC |
—
|
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: consul of 70 BC | Statement: [Pompey the Great, consulship, consul of 70 BC]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: consulship Context triple: [Pompey the Great, consulship, consul of 70 BC]
-
A.
consulshipYear
Indicates the specific year during which an entity held or is associated with a consulship office or term.
-
B.
numberOfConsulships
Indicates the total count of times an entity has held the office or role of consul.
-
C.
thirdConsul
Indicates that an entity holds the position or role of the third consul in a specified governing body or context.
-
D.
firstConsulshipYear
Indicates the calendar year in which an entity held its first consulship or began serving its first term as consul.
-
E.
lastConsulshipYear
Indicates the specific year in which an entity most recently held the office of consul.
- 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_69a8861be7148190a680937ec451a304 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb18c46c88190b10c05bf5c6a2d9c |
completed | March 7, 2026, 5:03 a.m. |
| PD | Predicate disambiguation | batch_69abafe7e7e88190b58c0df59187c0c2 |
completed | March 7, 2026, 4:56 a.m. |
| PDg | Predicate description generation | batch_69abb09b27e88190bff164040fef6d7e |
completed | March 7, 2026, 4:59 a.m. |
Created at: March 4, 2026, 7:35 p.m.