Triple
T10484382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khmelnytskyi Oblast |
E247257
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Yarmolyntsi
Yarmolyntsi is a small urban locality in western Ukraine known primarily as a local administrative and transport center within the region.
|
E865633
|
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: Yarmolyntsi | Statement: [Khmelnytskyi Oblast, containsTown, Yarmolyntsi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yarmolyntsi Context triple: [Khmelnytskyi Oblast, containsTown, Yarmolyntsi]
-
A.
Nemyriv
Nemyriv is a historic town in central Ukraine known for its Jewish heritage and role as a regional cultural and economic center.
-
B.
Yunaska
Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
-
C.
Cheremule
Cheremule is a small municipality in northern Sardinia, Italy, known for its rural landscape and archaeological sites within the historical Logudoro region.
-
D.
Bronnitsy
Bronnitsy is a historic town in Russia known for its jewelry-making traditions and its location southeast of Moscow along the Moskva River.
-
E.
Golymin
Golymin is a village in east-central Poland best known as the site of a significant engagement during the Napoleonic Wars.
- 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: Yarmolyntsi Triple: [Khmelnytskyi Oblast, containsTown, Yarmolyntsi]
Generated description
Yarmolyntsi is a small urban locality in western Ukraine known primarily as a local administrative and transport center within the region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yarmolyntsi Target entity description: Yarmolyntsi is a small urban locality in western Ukraine known primarily as a local administrative and transport center within the region.
-
A.
Nemyriv
Nemyriv is a historic town in central Ukraine known for its Jewish heritage and role as a regional cultural and economic center.
-
B.
Yunaska
Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
-
C.
Cheremule
Cheremule is a small municipality in northern Sardinia, Italy, known for its rural landscape and archaeological sites within the historical Logudoro region.
-
D.
Bronnitsy
Bronnitsy is a historic town in Russia known for its jewelry-making traditions and its location southeast of Moscow along the Moskva River.
-
E.
Golymin
Golymin is a village in east-central Poland best known as the site of a significant engagement during the Napoleonic Wars.
- 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d50968a0bc8190a18ba24eb37431d9 |
completed | April 7, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8a03c647c81909521fee4a66ec8ac |
completed | April 10, 2026, 7:01 a.m. |
| NEDg | Description generation | batch_69d8a45e5a108190ba8e6ba4af858b19 |
completed | April 10, 2026, 7:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d8a890c6b081908e57cc74f18d788b |
completed | April 10, 2026, 7:36 a.m. |
Created at: April 6, 2026, 12:22 p.m.