Triple
T26844649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marquess of Montferrat |
E675882
|
entity |
| Predicate | eventualIncorporationInto |
P13314
|
FINISHED |
| Object | Kingdom of Italy |
—
|
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: Kingdom of Italy | Statement: [Marquess of Montferrat, eventualIncorporationInto, Kingdom of Italy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eventualIncorporationInto Context triple: [Marquess of Montferrat, eventualIncorporationInto, Kingdom of Italy]
-
A.
laterIncorporatedInto
chosen
Indicates that one entity was subsequently merged into, absorbed by, or formally made part of another entity at a later time.
-
B.
incorporationAfter
Indicates that one entity is incorporated or formally established at a later time than another entity.
-
C.
partiallyIncorporatedInto
Indicates that one entity has been integrated or absorbed into another entity, but only to a limited or incomplete extent.
-
D.
incorporatedThrough
Indicates that one entity was formed, established, or legally created by means of another specified process, mechanism, or intermediary entity.
-
E.
incorporatedAs
Indicates that an organization has been legally formed and registered under a specific corporate structure or name.
- 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_69eee9b8d5e88190a07d3455c0fbb21f |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f6352fdb788190b9bad30243690743 |
completed | May 2, 2026, 5:32 p.m. |
| PD | Predicate disambiguation | batch_69f631850ae08190a0ba51e4f1e4ccb3 |
completed | May 2, 2026, 5:16 p.m. |
Created at: April 27, 2026, 5:10 a.m.