Triple
T7439294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Titus |
E171703
|
entity |
| Predicate | heldConsulships |
P32960
|
FINISHED |
| Object | multiple times |
—
|
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: multiple times | Statement: [Titus, heldConsulships, multiple times]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: heldConsulships Context triple: [Titus, heldConsulships, multiple times]
-
A.
consulship
chosen
Indicates the relationship in which an individual holds or exercises the office and powers of a consul.
-
B.
numberOfConsulships
Indicates the total count of times an entity has held the office or role of consul.
-
C.
consulshipYear
Indicates the specific year during which an entity held or is associated with a consulship office or term.
-
D.
lastConsulshipYear
Indicates the specific year in which an entity most recently held the office of consul.
-
E.
holdsGrandeeship
Indicates that one entity possesses or occupies the status, office, or title of a grandee in relation to another entity or domain.
- 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_69c68a64228c8190affaec2a8127ce7b |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f34c28648190a426b5d7623b41e8 |
completed | March 27, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69c6f038582c8190bac77c9b5a34b862 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:13 p.m.