Triple
T29456415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aygek |
E747113
|
entity |
| Predicate | borderingCountryOfItsProvince |
P195271
|
FINISHED |
| Object | Turkey |
—
|
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: Turkey | Statement: [Aygek, borderingCountryOfItsProvince, Turkey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: borderingCountryOfItsProvince Context triple: [Aygek, borderingCountryOfItsProvince, Turkey]
-
A.
provinceBordering
Indicates that two provinces share a common boundary or border with each other.
-
B.
borderingStateOrProvince
Indicates that one state or province shares a common boundary with another state or province.
-
C.
borderingCountryOfTerritory
Indicates that one country shares a land or maritime boundary with the specified territory.
-
D.
borderingAuthorityOf
Indicates that one authority’s jurisdiction directly touches or shares a boundary with another authority’s jurisdiction.
-
E.
borderingCountryOfState
Indicates that one country shares a land or maritime boundary directly with the specified 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_69f0bd4125f88190b56104591351619c |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69fdb45537288190b6791078d4a6899f |
completed | May 8, 2026, 10 a.m. |
| PD | Predicate disambiguation | batch_69fdb39ad96481908376d7def9fafc13 |
completed | May 8, 2026, 9:57 a.m. |
| PDg | Predicate description generation | batch_69fdb4544b548190b8971f8055d48caa |
completed | May 8, 2026, 10 a.m. |
Created at: April 28, 2026, 3:46 p.m.