Triple
T26103884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Italian Order of Merit for Labour |
E658485
|
entity |
| Predicate | rankConferred |
P83740
|
FINISHED |
| Object | Cavaliere del Lavoro |
—
|
NE NERFINISHED |
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: Cavaliere del Lavoro | Statement: [Italian Order of Merit for Labour, rankConferred, Cavaliere del Lavoro]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankConferred Context triple: [Italian Order of Merit for Labour, rankConferred, Cavaliere del Lavoro]
-
A.
rankGrade
Indicates the grade or level assigned to an entity within a ranking or evaluation system.
-
B.
grantsRank
chosen
Indicates that one entity confers or assigns a particular rank, status, or level to another entity.
-
C.
rankStatus
Indicates the hierarchical level or position an entity holds within an ordered ranking or status system.
-
D.
rankIn
Indicates the relative position or level an entity holds within an ordered set, hierarchy, or competitive context.
-
E.
rankType
Indicates the specific category or classification of a rank within a ranking or hierarchy system.
- 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_69ee5bc09c288190bc42a11972841383 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f60774d1648190a2616433371e1d51 |
completed | May 2, 2026, 2:17 p.m. |
| PD | Predicate disambiguation | batch_69f5b0021da88190bdd4cf2698c23edf |
completed | May 2, 2026, 8:04 a.m. |
Created at: April 26, 2026, 7:57 p.m.