Triple
T13482080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seven-thousanders of the Tian Shan |
E318395
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Pik 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: Pik Pobeda | Statement: [Seven-thousanders of the Tian Shan, hasMember, Pik Pobeda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pik Pobeda Context triple: [Seven-thousanders of the Tian Shan, hasMember, Pik 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.
Vityaz Podolsk
Vityaz Podolsk is a professional ice hockey club based in Podolsk, Russia, known for competing in the Kontinental Hockey League (KHL).
-
C.
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.
-
D.
Shaposhnikov
Shaposhnikov is a Russian surname most notably associated with Soviet military leader Boris Shaposhnikov.
-
E.
Stalinets
Stalinets was the former name of the Russian football club now known as Lokomotiv Moscow.
- 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_69d806b6bfec819089222715b2e86c8e |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf3868ec8190a6a1803018d4f2d8 |
completed | April 12, 2026, 2:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75481b6f48190b6cd6cef3e8dee20 |
completed | May 3, 2026, 1:58 p.m. |
Created at: April 9, 2026, 9:42 p.m.