Triple
T2334719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kurumoch International Airport |
E44283
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | city of Samara |
E67593
|
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: city of Samara | Statement: [Kurumoch International Airport, serves, city of Samara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: city of Samara Context triple: [Kurumoch International Airport, serves, city of Samara]
-
A.
Samara
chosen
Samara is a major Russian city on the Volga River known as an important industrial, cultural, and transportation hub.
-
B.
Samara
Samara is a design-focused housing and urban innovation company co-founded by Airbnb’s Joe Gebbia to explore new forms of living and community.
-
C.
Ulyanov
Ulyanov is the Russian surname of Vladimir Lenin, the revolutionary leader and founder of the Soviet state.
-
D.
Ryazan
Ryazan is a historic city in western Russia known for its medieval kremlin, role as a regional cultural and economic center, and legacy as one of the country’s oldest urban settlements.
-
E.
Kamyshin
Kamyshin is a significant industrial and river port city on the Volga River in southwestern Russia.
- 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_69a889132b488190bbb43ad4780ddd92 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abc687362c8190a55b3d6cb1580d56 |
completed | March 7, 2026, 6:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae897bf59c8190bc0ac8a4f3841832 |
completed | March 9, 2026, 8:49 a.m. |
Created at: March 4, 2026, 7:51 p.m.