Triple
T9051143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arem |
E216884
|
entity |
| Predicate | ethnicCluster |
P14216
|
FINISHED |
| Object | Chut ethnic cluster |
—
|
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: Chut ethnic cluster | Statement: [Arem, ethnicCluster, Chut ethnic cluster]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ethnicCluster Context triple: [Arem, ethnicCluster, Chut ethnic cluster]
-
A.
countryCluster
Indicates that multiple countries are grouped together based on shared characteristics, relationships, or classification criteria.
-
B.
arealCluster
Indicates that entities belong to the same spatially contiguous or closely grouped geographic area.
-
C.
ethnicSubdivisionOf
Indicates that one ethnic group is a constituent subgroup or branch within a larger, overarching ethnic group.
-
D.
sharesEthnicity
Indicates that two entities belong to the same ethnic group or share the same ethnic background.
-
E.
ethnicCategoryIn
chosen
Indicates that an entity belongs to or is classified within a specified ethnic category in a given context.
- 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_69ca83d362e88190ae44b4e4dc194209 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc6b54423081908d9fd985109e336a |
completed | April 1, 2026, 12:48 a.m. |
| PD | Predicate disambiguation | batch_69cc5ee566b081909e3cdaf551dbd0ec |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 7:10 p.m.