Triple
T599783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portuguese Empire |
E11466
|
entity |
| Predicate | unionStartTime |
P205
|
FINISHED |
| Object | 1580 |
—
|
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: 1580 | Statement: [Portuguese Empire, unionStartTime, 1580]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: unionStartTime Context triple: [Portuguese Empire, unionStartTime, 1580]
-
A.
admittedToUnionOn
chosen
Indicates that an entity (typically a state or region) was formally accepted and incorporated into a union or federation on a specific date.
-
B.
ordinationDate
Indicates the date on which an individual was formally ordained to a religious office or role.
-
C.
admittedToUnionFrom
Indicates that an entity (such as a state or region) was admitted into a union or larger political entity from a specified prior jurisdiction or status.
-
D.
foundingDateOfInvolvement
Indicates the date on which an entity first became involved in, or began its participation in, a particular relationship, organization, or activity.
-
E.
departmentFormed
Indicates that a specific department has been created or established, often at a particular time or under certain conditions.
- 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_69a4932779b881908688590d59c71900 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49dc4f7d08190990f70b9b3af6ce5 |
completed | March 1, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69a49cf59cd0819084e67981cb371e25 |
completed | March 1, 2026, 8:09 p.m. |
Created at: March 1, 2026, 7:35 p.m.