Triple
T4384325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prime Minister of Bahrain |
E99203
|
entity |
| Predicate | countryUsesSystem |
P35668
|
FINISHED |
| Object | constitutional monarchy |
—
|
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: constitutional monarchy | Statement: [Prime Minister of Bahrain, countryUsesSystem, constitutional monarchy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryUsesSystem Context triple: [Prime Minister of Bahrain, countryUsesSystem, constitutional monarchy]
-
A.
establishedSystem
Indicates that an entity has created, set up, or formally put into operation a particular system or structured arrangement.
-
B.
countryStatus
Indicates the political or legal condition of a country, such as its sovereignty, recognition, or current state in international or domestic contexts.
-
C.
countryOrRegionUsed
chosen
Indicates that something is used within, or applies to, a specific country or geographic region.
-
D.
usedByCountryCode
Indicates that something is utilized or applied within the country identified by the given country code.
-
E.
usedForCountry
Indicates that something is used for, or serves a purpose related to, a specific country.
- 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_69b3454f739481909ff6c28331f0c0b9 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35263970c8190904ee20d81715833 |
completed | March 12, 2026, 11:55 p.m. |
| PD | Predicate disambiguation | batch_69b34f557fe8819085032bf7f0cea5dc |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:19 p.m.