Triple
T30238563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | British High Commissioner to the Maldives |
E768843
|
entity |
| Predicate | titleUsedInHostCountry |
P195353
|
FINISHED |
| Object | British High Commissioner |
—
|
NE NERFINISHED |
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: British High Commissioner | Statement: [British High Commissioner to the Maldives, titleUsedInHostCountry, British High Commissioner]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleUsedInHostCountry Context triple: [British High Commissioner to the Maldives, titleUsedInHostCountry, British High Commissioner]
-
A.
usedInHostCountry
Indicates that something is utilized or applied within the context or territory of a specified host country.
-
B.
usedInCountry
Indicates that something is utilized, applied, or in operation within the specified country.
-
C.
brandUsedInCountry
Indicates that a particular brand is used or present within a specified country.
-
D.
usedInCountryOrRegion
Indicates that something (such as an item, concept, or practice) is utilized or applied within a specified country or region.
-
E.
usedInConstituentCountry
Indicates that something is utilized or applied within a specific constituent country of a larger sovereign state.
- 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_69f224820c048190b1435c4cc145acf1 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fdbc5ef46c8190bbcfb9798f4615b7 |
completed | May 8, 2026, 10:35 a.m. |
| PD | Predicate disambiguation | batch_69fdbb270338819082ce3f73903e884f |
completed | May 8, 2026, 10:29 a.m. |
| PDg | Predicate description generation | batch_69fdbc5da9988190b95234bce4cc2062 |
completed | May 8, 2026, 10:35 a.m. |
Created at: April 29, 2026, 7:38 p.m.