Triple
T37748993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pik Lenina |
E940923
|
entity |
| Predicate | nationalBorder |
P196531
|
FINISHED |
| Object | Kyrgyzstan–Tajikistan border |
—
|
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: Kyrgyzstan–Tajikistan border | Statement: [Pik Lenina, nationalBorder, Kyrgyzstan–Tajikistan border]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nationalBorder Context triple: [Pik Lenina, nationalBorder, Kyrgyzstan–Tajikistan border]
-
A.
countryBordering
Indicates that one country shares a land or maritime boundary directly with another country.
-
B.
bordersNation
Indicates that one nation shares a land or maritime boundary with another nation.
-
C.
provinceBordering
Indicates that two provinces share a common boundary or border with each other.
-
D.
continentBorders
Indicates that one continent shares a land or maritime boundary directly with another continent.
-
E.
countryBorderRelation
Indicates that two countries share a common land or maritime boundary with each other.
- 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_69f76ee1f3a88190834e6c8af99bccc9 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fe59d11e9881909d2f33b7c717030e |
completed | May 8, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69fe394fdfbc8190a931926ae3635cbf |
completed | May 8, 2026, 7:28 p.m. |
| PDg | Predicate description generation | batch_69fe59d03a648190bbe846cb5730a477 |
completed | May 8, 2026, 9:46 p.m. |
Created at: May 3, 2026, 4:19 p.m.