Triple
T35862005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Piso |
E1036977
|
entity |
| Predicate | typicalBearerStatus |
P164202
|
FINISHED |
| Object | senatorial aristocracy |
—
|
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: senatorial aristocracy | Statement: [Piso, typicalBearerStatus, senatorial aristocracy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalBearerStatus Context triple: [Piso, typicalBearerStatus, senatorial aristocracy]
-
A.
typicalBearers
Indicates that certain entities are the usual or characteristic holders, users, or possessors of a given property, role, or attribute.
-
B.
bearerStatus
chosen
Indicates that one entity holds or possesses another entity in a specific role, capacity, or state (i.e., is the bearer of it).
-
C.
typicalStatus
Indicates the usual or standard state or condition that an entity normally has or occupies.
-
D.
typicalBearersNationality
Indicates the nationality that entities of a given type or class are most commonly associated with.
-
E.
tokenStatus
Indicates the current state or condition of a token within a process, system, or lifecycle.
- 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_69f76e1d279c8190843e5b64a0a12c3f |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037ce70f54819082946dad8d380825 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a069e6c8190857b611fffb7b867 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:06 p.m.