Triple
T27172648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tayr Dibba |
E682960
|
entity |
| Predicate | hasEthnoReligiousCommunity |
P62585
|
FINISHED |
| Object | Shia Muslims |
—
|
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: Shia Muslims | Statement: [Tayr Dibba, hasEthnoReligiousCommunity, Shia Muslims]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEthnoReligiousCommunity Context triple: [Tayr Dibba, hasEthnoReligiousCommunity, Shia Muslims]
-
A.
hasEthnoReligiousDimension
Indicates that the relationship, event, or phenomenon involves or is characterized by an ethnic and/or religious aspect or component.
-
B.
ethnicOrReligiousGroup
chosen
Indicates that one entity is an ethnic or religious group to which the other entity belongs or with which it is associated.
-
C.
religiousMinorityCommunity
Indicates a community whose members follow a religion that is numerically or socially less dominant within a larger societal or national context.
-
D.
ethnicCommunityContext
Indicates the cultural, social, or historical context related to an entity’s association with a particular ethnic community.
-
E.
ethnicCommunityBase
Indicates that an ethnic community is based in, originates from, or is primarily associated with a particular place or area.
- 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_69eefad086808190ab89816c0c300476 |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f676c440708190a4b9974e95d2291a |
completed | May 2, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69f675fd59608190b246383435e68fce |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 27, 2026, 9:24 a.m.