Triple
T21500521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | President of Azerbaijan |
E530461
|
entity |
| Predicate | firstFormationDate |
P61740
|
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: [President of Azerbaijan, firstFormationDate, 1990]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstFormationDate Context triple: [President of Azerbaijan, firstFormationDate, 1990]
-
A.
monthOfFormation
Indicates the specific calendar month in which an entity (such as an organization or group) was formally established or created.
-
B.
firstCreationYear
chosen
Indicates the year in which something was first created or originally produced.
-
C.
foundedAt
Indicates the time or date at which an entity (such as an organization, project, or institution) was established or created.
-
D.
eraOfEstablishment
Indicates the time period or historical era during which an entity was founded or established.
-
E.
establishedAt
Indicates the specific time or date at which something (such as an organization, system, or entity) was founded or brought into existence.
- 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_69e0c45bd15481909fba5910765cdda2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea5be400819093e2b7e145254eab |
completed | April 23, 2026, 9:46 a.m. |
| PD | Predicate disambiguation | batch_69e631f6e68081908f5ee4ce7413803e |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:24 p.m.