Triple
T7749859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monte Saccarello |
E175726
|
entity |
| Predicate | SOType |
P78501
|
FINISHED |
| Object | two-thousander of Italy |
—
|
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: two-thousander of Italy | Statement: [Monte Saccarello, SOType, two-thousander of Italy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: SOType Context triple: [Monte Saccarello, SOType, two-thousander of Italy]
-
A.
oreType
Indicates the specific kind or classification of ore associated with an entity.
-
B.
specType
Indicates the specific type or category of a specification that an entity is associated with.
-
C.
seeType
Indicates that one entity observes, recognizes, or visually perceives another entity of a particular type or category.
-
D.
slotType
Indicates the classification or category assigned to a particular slot or position within a structure, system, or sequence.
-
E.
sapType
Indicates the specific category or classification of SAP-related type assigned to an entity within a system or data model.
- F. None of above. chosen
Provenance (4 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_69c69960b3588190a53aa590d31d9544 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c705257ca08190a78c592a1e616da8 |
completed | March 27, 2026, 10:31 p.m. |
| PD | Predicate disambiguation | batch_69c7016df2b08190b2330a2010691431 |
completed | March 27, 2026, 10:15 p.m. |
| PDg | Predicate description generation | batch_69c70524c3948190a163dc5f4ecdffa7 |
completed | March 27, 2026, 10:31 p.m. |
Created at: March 27, 2026, 4:08 p.m.