Triple
T4558849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roman lictor |
E120544
|
entity |
| Predicate | numberForDictator |
P8195
|
FINISHED |
| Object | 24 |
—
|
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: 24 | Statement: [Roman lictor, numberForDictator, 24]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberForDictator Context triple: [Roman lictor, numberForDictator, 24]
-
A.
number
chosen
Indicates that one entity is associated with a specific numerical value or count in relation to another entity or context.
-
B.
implementedOnePartyDictatorship
Indicates that an entity established and put into effect a political system in which a single party holds exclusive governing power, suppressing opposition and alternative parties.
-
C.
presidentialNumber
Indicates the ordinal position a person holds in a sequence of presidents (e.g., first, second, third president).
-
D.
partyNumber
Indicates the identifier or ordinal position assigned to a specific party within a multi-party relationship or transaction.
-
E.
numberOfElectors
Indicates the total count of electors associated with a given entity or context.
- 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_69bd4636f1648190a701445c2fcd9c17 |
completed | March 20, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69bd5829cc34819086ad2ae58446502e |
completed | March 20, 2026, 2:22 p.m. |
| PD | Predicate disambiguation | batch_69bd52254c648190a5144cfe8fa7e409 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1:09 p.m.