Triple
T13554409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen of Italy |
E323732
|
entity |
| Predicate | lastTitleHolderEndTime |
P33300
|
FINISHED |
| Object | 1946 |
—
|
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: 1946 | Statement: [Queen of Italy, lastTitleHolderEndTime, 1946]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lastTitleHolderEndTime Context triple: [Queen of Italy, lastTitleHolderEndTime, 1946]
-
A.
lastHolderTitle
Indicates the official title or position held by the most recent holder of a given role, asset, or entity.
-
B.
titleHolderSince
Indicates the entity that has held a particular title or position continuously from a specified starting time.
-
C.
lastHeldIn
Indicates that an event or state most recently took place or was hosted in a particular location or context.
-
D.
lastHolder
Indicates that the subject is the most recent entity to have possessed, owned, or held the object.
-
E.
termEndOfLastHolder
chosen
Indicates that something marks the end point of the term or tenure of the most recent previous holder of a role, position, or asset.
- 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_69d8076830b48190910a902bae5888e2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbbb9ee3f081909056dc1a92c40b7a |
completed | April 12, 2026, 3:34 p.m. |
| PD | Predicate disambiguation | batch_69dbae13bec4819084c1770638c00ed9 |
completed | April 12, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:46 p.m.