Triple
T26714889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gürbulak |
E673522
|
entity |
| Predicate | oppositeBorderPostCountry |
P156790
|
FINISHED |
| Object | Iran |
—
|
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: Iran | Statement: [Gürbulak, oppositeBorderPostCountry, Iran]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oppositeBorderPostCountry Context triple: [Gürbulak, oppositeBorderPostCountry, Iran]
-
A.
borderingCountryOnOtherSide
chosen
Indicates that one country lies on the opposite side of a shared border relative to another country.
-
B.
oppositeTownAcrossBorder
Indicates that one town is located directly across a border from another town, positioned as its opposite counterpart.
-
C.
oppositeTownCountry
Indicates that two locations are situated in opposing or contrasting town and country settings, such that one is urban while the other is rural.
-
D.
borderingRepublic
Indicates that one republic shares a land or maritime border with another republic.
-
E.
borderCountrySide
Indicates that one country shares a land border with the side or region of another country.
- 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_69eecda3a22881908f3061c760b9d542 |
completed | April 27, 2026, 2:44 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, 3:37 a.m.