Triple
T35990954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shia Turkmen |
E1040842
|
entity |
| Predicate | borderingCommunities |
P201043
|
FINISHED |
| Object | Sunni Turkmen |
—
|
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: Sunni Turkmen | Statement: [Shia Turkmen, borderingCommunities, Sunni Turkmen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: borderingCommunities Context triple: [Shia Turkmen, borderingCommunities, Sunni Turkmen]
-
A.
borderedBy
Indicates that one entity shares a common boundary or edge with another entity.
-
B.
countyBorder
Indicates that two counties share a common boundary or border with each other.
-
C.
borderingAdministrativeTerritorialEntity
Indicates that one administrative territorial entity shares a common boundary with another administrative territorial entity.
-
D.
provinceBordering
Indicates that two provinces share a common boundary or border with each other.
-
E.
sharesTrinationalAreaWith
Indicates that two entities are part of, or overlap within, the same geographic area jointly administered or recognized by three different nations.
- 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_69f76e29084c819083987b828d414de7 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ffc3f0b19c8190b5a749bc3cad21dd |
completed | May 9, 2026, 11:32 p.m. |
| PD | Predicate disambiguation | batch_69ffc1b882808190932b2d43ea5537c9 |
completed | May 9, 2026, 11:22 p.m. |
| PDg | Predicate description generation | batch_69ffc3eed97c819085c06ffe3699ff38 |
completed | May 9, 2026, 11:31 p.m. |
Created at: May 3, 2026, 4:07 p.m.