Triple
T3580503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King of Papua New Guinea |
E75786
|
entity |
| Predicate | officeFormation |
P49854
|
FINISHED |
| Object | 16 September 1975 |
—
|
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: 16 September 1975 | Statement: [King of Papua New Guinea, officeFormation, 16 September 1975]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeFormation Context triple: [King of Papua New Guinea, officeFormation, 16 September 1975]
-
A.
officeCreatedFor
Indicates that an office or position was established specifically to serve, represent, or support a particular entity.
-
B.
office
Indicates that an entity holds or occupies an official position, role, or post within an organization or institution.
-
C.
formOfWork
Indicates that one creative work is a specific form, version, or expression of another related work.
-
D.
officeTerm
Indicates the period of time during which an individual officially holds a particular position or office.
-
E.
officeCategory
Indicates the classification or type of an office within a defined categorization scheme.
- 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_69ad85d5e3008190bdfe0bacdd1f5a1b |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc101738c81908d38987f8fa291ef |
completed | March 8, 2026, 6:33 p.m. |
| PD | Predicate disambiguation | batch_69adb83810c481909c645c08b978edc1 |
completed | March 8, 2026, 5:56 p.m. |
| PDg | Predicate description generation | batch_69adb8e4ba948190a9b777cf7f788b96 |
completed | March 8, 2026, 5:59 p.m. |
Created at: March 8, 2026, 3:21 p.m.