Triple
T6037464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | São Tomé |
E134456
|
entity |
| Predicate | governmentTypeOfCountry |
P66248
|
FINISHED |
| Object | semi-presidential republic |
—
|
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: semi-presidential republic | Statement: [São Tomé, governmentTypeOfCountry, semi-presidential republic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governmentTypeOfCountry Context triple: [São Tomé, governmentTypeOfCountry, semi-presidential republic]
-
A.
governmentType
Indicates the form or system of governance under which an entity (such as a country or organization) is organized and ruled.
-
B.
governmentTypeStrengthened
Indicates that the form or structure of a government has been reinforced, consolidated, or made more powerful or stable relative to its previous state.
-
C.
governmentTypeSupported
Indicates that an entity endorses, backs, or is in favor of a particular form or system of government.
-
D.
typeOfGovernmentAfter
Indicates the form of government that exists or is established in a place following a specified event or time period.
-
E.
hasGovernmentTypeCountry
chosen
Indicates that a country possesses or is characterized by a particular form or type of government.
- 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_69c00875db5c819099dd5bb833ec43c2 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c056cb06508190a90beb4d9d083835 |
completed | March 22, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69c049e9a68c81909da0cfe4779ce9b5 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:08 p.m.