Triple
T7018145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maldivians |
E162746
|
entity |
| Predicate | religiousMinorityPresence |
P2812
|
FINISHED |
| Object | very small |
—
|
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: very small | Statement: [Maldivians, religiousMinorityPresence, very small]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religiousMinorityPresence Context triple: [Maldivians, religiousMinorityPresence, very small]
-
A.
religionMinority
chosen
Indicates that the subject’s religion is a minority faith within the relevant population or context.
-
B.
religiousGroupsPresent
Indicates that one or more religious groups are present or represented in a given context, location, or situation.
-
C.
ethnicOrReligiousGroup
Indicates that one entity is an ethnic or religious group to which the other entity belongs or with which it is associated.
-
D.
religionsPresent
Indicates that one or more religions are present, practiced, or represented in relation to a given entity or context.
-
E.
MuslimCommunityStatus
Indicates the status or condition of a Muslim community in relation to a specified context, such as its recognition, rights, or social standing.
- 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_69c6885a127c8190867b059bdccf13ff |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e5ecd4488190bf19e42de55da98b |
completed | March 27, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69c6e1b8118481909d76eb6616160e80 |
completed | March 27, 2026, 7:59 p.m. |
Created at: March 27, 2026, 2:34 p.m.