Triple
T4663957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maresciallo d'Italia |
E102799
|
entity |
| Predicate | isHonorificRank |
P40137
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Maresciallo d'Italia, isHonorificRank, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isHonorificRank Context triple: [Maresciallo d'Italia, isHonorificRank, true]
-
A.
honorificRank
Indicates that one entity holds a formal title or honorific status in relation to another entity.
-
B.
isHonorific
Indicates that one entity functions as an honorific title or respectful form of address applied to another entity.
-
C.
hasHonorificStatus
chosen
Indicates that an entity holds or is assigned a particular honorific title, rank, or status in relation to another entity.
-
D.
hasHonorificFrom
Indicates that one entity uses or receives a particular honorific title or form of address originating from another entity or source.
-
E.
isHonorificOffice
Indicates that a given office or position is honorary in nature, typically carrying prestige or ceremonial status rather than substantive powers or duties.
- 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_69bd43d9cba4819086c1ab1c2d9d2133 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd633aeba88190a8329ed022d685b6 |
completed | March 20, 2026, 3:09 p.m. |
| PD | Predicate disambiguation | batch_69bd62126b0c81909ba3f21b21e30d54 |
completed | March 20, 2026, 3:04 p.m. |
Created at: March 20, 2026, 1:15 p.m.