Triple
T3020280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jengish Chokusu |
E82437
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Peak Pobeda |
E82438
|
NE 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: Peak Pobeda | Statement: [Jengish Chokusu, alsoKnownAs, Peak Pobeda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peak Pobeda Context triple: [Jengish Chokusu, alsoKnownAs, Peak Pobeda]
-
A.
Pik Pobedy
chosen
Pik Pobedy is the highest peak in the Tian Shan mountain range, straddling the border between Kyrgyzstan and China and known for its extreme climbing conditions.
-
B.
Park Pobedy
Park Pobedy is a major Moscow Metro station known for its great depth and role as an important interchange hub in the network.
-
C.
Pobeda
Pobeda is a Russian low-cost airline and a subsidiary of Aeroflot, operating domestic and international flights primarily from Moscow.
-
D.
Kurskaya
Kurskaya is a Moscow Metro station on the Koltsevaya (Circle) Line, serving as a major transfer hub in the city’s rapid transit network.
-
E.
Krasnov
Krasnov is a Russian surname borne by various notable figures in military, political, and cultural history.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ad8b1fb34081908c1b873e2b7273e1 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9a940c048190bc46e2c8001db8c0 |
completed | March 8, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b12e73b5988190be0712f4ddea92f7 |
completed | March 11, 2026, 8:57 a.m. |
Created at: March 8, 2026, 3 p.m.