Triple
T6456011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matua |
E141994
|
entity |
| Predicate | occupationDate |
P71101
|
FINISHED |
| Object | 1945 |
—
|
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: 1945 | Statement: [Matua, occupationDate, 1945]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: occupationDate Context triple: [Matua, occupationDate, 1945]
-
A.
ordinationDate
Indicates the date on which an individual was formally ordained to a religious office or role.
-
B.
admissionDate
Indicates the date on which an entity (such as a person, application, or item) is formally admitted, accepted, or entered into a system or institution.
-
C.
leaseBegan
Indicates that a lease agreement between parties started or came into effect at a specific time.
-
D.
usedAsOfficialResidenceSince
Indicates that an entity has served as the formally designated official residence of another entity starting from a specified point in time.
-
E.
acquisitionDate
Indicates the date on which one entity formally acquires or takes ownership of another entity.
- 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_69c008d2f91c8190a8178767a35e08fc |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c069d4d588819090e8a56c46c0bfe9 |
completed | March 22, 2026, 10:14 p.m. |
| PD | Predicate disambiguation | batch_69c0673b44148190aed70084f0ff4992 |
completed | March 22, 2026, 10:03 p.m. |
| PDg | Predicate description generation | batch_69c068cb3b888190812ed56f2fdd45ed |
completed | March 22, 2026, 10:10 p.m. |
Created at: March 22, 2026, 4:48 p.m.