Triple
T3896412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prime Minister of Namibia |
E88180
|
entity |
| Predicate | officeEstablishedIn |
P52731
|
FINISHED |
| Object | 1990 |
—
|
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: 1990 | Statement: [Prime Minister of Namibia, officeEstablishedIn, 1990]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeEstablishedIn Context triple: [Prime Minister of Namibia, officeEstablishedIn, 1990]
-
A.
officeEstablishedWith
Indicates that an office or formal workplace was created or set up through the involvement, authorization, or collaboration of the associated entity or entities.
-
B.
establishedOffice
Indicates that an entity created or set up an official office or place of operation.
-
C.
locationOfEstablishment
Indicates the place or area where an establishment is situated or operates.
-
D.
agencyLocatedIn
Indicates that an agency is situated or based within a specific geographic or administrative location.
-
E.
employerHeadquarters
Indicates the location where an employer’s main corporate offices or central administrative operations are based.
- 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_69aed9466d548190939f5217a23ed4ac |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef1abe2dc81909c18aeae9b286898 |
completed | March 9, 2026, 4:13 p.m. |
| PD | Predicate disambiguation | batch_69aee75b5b808190a348a31b1325d3d0 |
completed | March 9, 2026, 3:29 p.m. |
| PDg | Predicate description generation | batch_69aef1aada308190821a3dfa6af170b3 |
completed | March 9, 2026, 4:13 p.m. |
Created at: March 9, 2026, 3:21 p.m.