Triple
T5316571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kolomna |
E119163
|
entity |
| Predicate | hasTraditionalProduct |
P3585
|
FINISHED |
| Object |
Kolomna pastila
Kolomna pastila is a traditional Russian apple-based confection from the town of Kolomna, known for its airy, marshmallow-like texture and historical artisanal production.
|
E511095
|
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: Kolomna pastila | Statement: [Kolomna, hasTraditionalProduct, Kolomna pastila]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kolomna pastila Context triple: [Kolomna, hasTraditionalProduct, Kolomna pastila]
-
A.
Kastanitsa
Kastanitsa is a traditional stone-built village in the Peloponnese region of Greece, known for its well-preserved Tsakonian architecture and scenic mountain setting.
-
B.
Viktorka
Viktorka is the popular nickname of FC Viktoria Plzeň, a professional football club from Plzeň in the Czech Republic.
-
C.
Vyazniki
Vyazniki is a historic town in western Russia known for its traditional architecture and location on the Klyazma River.
-
D.
Oreshek
Oreshek is the historic Russian fortress on Lake Ladoga that later gave rise to the town of Shlisselburg.
-
E.
Kolokol
Kolokol was a 19th-century Russian émigré political newspaper that became a major voice of liberal and revolutionary opposition to the tsarist regime.
- 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: Kolomna pastila Triple: [Kolomna, hasTraditionalProduct, Kolomna pastila]
Generated description
Kolomna pastila is a traditional Russian apple-based confection from the town of Kolomna, known for its airy, marshmallow-like texture and historical artisanal production.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kolomna pastila Target entity description: Kolomna pastila is a traditional Russian apple-based confection from the town of Kolomna, known for its airy, marshmallow-like texture and historical artisanal production.
-
A.
Kastanitsa
Kastanitsa is a traditional stone-built village in the Peloponnese region of Greece, known for its well-preserved Tsakonian architecture and scenic mountain setting.
-
B.
Viktorka
Viktorka is the popular nickname of FC Viktoria Plzeň, a professional football club from Plzeň in the Czech Republic.
-
C.
Vyazniki
Vyazniki is a historic town in western Russia known for its traditional architecture and location on the Klyazma River.
-
D.
Oreshek
Oreshek is the historic Russian fortress on Lake Ladoga that later gave rise to the town of Shlisselburg.
-
E.
Kolokol
Kolokol was a 19th-century Russian émigré political newspaper that became a major voice of liberal and revolutionary opposition to the tsarist regime.
- 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_69bd446b57bc8190a513d2e6c40314f3 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd854fd07c8190b4f1c3c8e618c308 |
completed | March 20, 2026, 5:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf110e89548190a5eb0bad6ab0483b |
completed | March 21, 2026, 9:43 p.m. |
| NEDg | Description generation | batch_69bf1263876c8190a278f06ad8ac816a |
completed | March 21, 2026, 9:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf12c123008190a0d3f3c23af59819 |
completed | March 21, 2026, 9:50 p.m. |
Created at: March 20, 2026, 1:54 p.m.