Triple
T12637751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ulyanovsk Baratayevka Airport |
E301809
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Ulyanovsk Baratayevka
Ulyanovsk Baratayevka is a regional airport serving the city of Ulyanovsk in Russia.
|
E994478
|
NE FINISHED |
How this triple was built (4 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: Ulyanovsk Baratayevka | Statement: [Ulyanovsk Baratayevka Airport, hasAlternativeName, Ulyanovsk Baratayevka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ulyanovsk Baratayevka Context triple: [Ulyanovsk Baratayevka Airport, hasAlternativeName, Ulyanovsk Baratayevka]
-
A.
Ulyanov
Ulyanov is the Russian surname of Vladimir Lenin, the revolutionary leader and founder of the Soviet state.
-
B.
Yelabuga
Yelabuga is a historic town in the Republic of Tatarstan, Russia, known for its preserved merchant architecture and cultural heritage.
-
C.
Yuzovka
Yuzovka was the original name of the industrial settlement in eastern Ukraine that later developed into the city of Donetsk.
-
D.
Kamyshin
Kamyshin is a significant industrial and river port city on the Volga River in southwestern Russia.
-
E.
Yegoryevsk
Yegoryevsk is a historic town in Russia, now part of Moscow Oblast, known for its 19th-century architecture and industrial heritage.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ulyanovsk Baratayevka Triple: [Ulyanovsk Baratayevka Airport, hasAlternativeName, Ulyanovsk Baratayevka]
Generated description
Ulyanovsk Baratayevka is a regional airport serving the city of Ulyanovsk in Russia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ulyanovsk Baratayevka Target entity description: Ulyanovsk Baratayevka is a regional airport serving the city of Ulyanovsk in Russia.
-
A.
Ulyanov
Ulyanov is the Russian surname of Vladimir Lenin, the revolutionary leader and founder of the Soviet state.
-
B.
Yelabuga
Yelabuga is a historic town in the Republic of Tatarstan, Russia, known for its preserved merchant architecture and cultural heritage.
-
C.
Yuzovka
Yuzovka was the original name of the industrial settlement in eastern Ukraine that later developed into the city of Donetsk.
-
D.
Kamyshin
Kamyshin is a significant industrial and river port city on the Volga River in southwestern Russia.
-
E.
Yegoryevsk
Yegoryevsk is a historic town in Russia, now part of Moscow Oblast, known for its 19th-century architecture and industrial heritage.
- F. None of above. chosen
Provenance (5 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_69d7bdec9f9c8190b4bac675b7588211 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96147f49c8190b701e1e27e207a95 |
completed | April 10, 2026, 8:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f66873706c8190a9908d1a8629b1c5 |
completed | May 2, 2026, 9:11 p.m. |
| NEDg | Description generation | batch_69f669a5d43c81909881cfd1f3797d4c |
completed | May 2, 2026, 9:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f66a2fa350819091f12e16d59c2278 |
completed | May 2, 2026, 9:18 p.m. |
Created at: April 9, 2026, 5:16 p.m.