Triple
T1703114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gaius Marius |
E36809
|
entity |
| Predicate | lastConsulshipYear |
P32431
|
FINISHED |
| Object | 86 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: 86 BC | Statement: [Gaius Marius, lastConsulshipYear, 86 BC]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lastConsulshipYear Context triple: [Gaius Marius, lastConsulshipYear, 86 BC]
-
A.
numberOfConsulships
Indicates the total count of times an entity has held the office or role of consul.
-
B.
partyLeadershipEndTime
Indicates the time at which an entity’s leadership role within a political party or organization comes to an end.
-
C.
lastIncumbent
Indicates that the subject is the most recent person or entity to have held a particular position, office, or role before the current one.
-
D.
parliamentaryRepresentationEndYear
Indicates the calendar year in which an entity’s parliamentary representation or membership formally ended.
-
E.
servedAsGovernorUntil
Indicates that an entity held the position of governor up to a specified end date or time.
- 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_69a88617439c819094ffb5d16a0f6307 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69ab75ad24408190814069e6e3ef9e59 |
completed | March 7, 2026, 12:47 a.m. |
| PD | Predicate disambiguation | batch_69aa61bad17c8190861b92cfb423f68f |
completed | March 6, 2026, 5:10 a.m. |
| PDg | Predicate description generation | batch_69ab75ac1408819086b22b3cd0672a79 |
completed | March 7, 2026, 12:47 a.m. |
Created at: March 4, 2026, 7:30 p.m.