Triple
T19866757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Donbas (2022) |
E477410
|
entity |
| Predicate | frontlineCity |
P3207
|
FINISHED |
| Object |
Popasna
Popasna is a city in eastern Ukraine’s Luhansk region that became a heavily contested and largely destroyed focal point of fighting during Russia’s 2022 invasion.
|
E1399932
|
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: Popasna | Statement: [Battle of Donbas (2022), frontlineCity, Popasna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Popasna Context triple: [Battle of Donbas (2022), frontlineCity, Popasna]
-
A.
Maslinica
Maslinica is a coastal village and popular tourist resort on the western side of the Croatian island of Šolta in the Adriatic Sea.
-
B.
Plesac
Plesac is a surname most notably associated with former Major League Baseball pitcher and current broadcaster Dan Plesac.
-
C.
Pojuca
Pojuca is a municipality in the Brazilian state of Bahia that forms part of the greater Salvador metropolitan area.
-
D.
Baška
Baška is a popular coastal town and tourist resort on the island of Krk in Croatia, known for its long pebble beach and historic old town.
-
E.
Podhajce
Podhajce is a historic town in western Ukraine, formerly part of interwar Poland, known for its multicultural heritage and role as a regional center in Galicia.
- 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: Popasna Triple: [Battle of Donbas (2022), frontlineCity, Popasna]
Generated description
Popasna is a city in eastern Ukraine’s Luhansk region that became a heavily contested and largely destroyed focal point of fighting during Russia’s 2022 invasion.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Popasna Target entity description: Popasna is a city in eastern Ukraine’s Luhansk region that became a heavily contested and largely destroyed focal point of fighting during Russia’s 2022 invasion.
-
A.
Maslinica
Maslinica is a coastal village and popular tourist resort on the western side of the Croatian island of Šolta in the Adriatic Sea.
-
B.
Plesac
Plesac is a surname most notably associated with former Major League Baseball pitcher and current broadcaster Dan Plesac.
-
C.
Pojuca
Pojuca is a municipality in the Brazilian state of Bahia that forms part of the greater Salvador metropolitan area.
-
D.
Baška
Baška is a popular coastal town and tourist resort on the island of Krk in Croatia, known for its long pebble beach and historic old town.
-
E.
Podhajce
Podhajce is a historic town in western Ukraine, formerly part of interwar Poland, known for its multicultural heritage and role as a regional center in Galicia.
- 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_69d8e51e7d948190aedbcd6c30361c39 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6589f9654819080597a4f7c52d64c |
completed | April 20, 2026, 4:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07dbc082188190b87235c7edbf3207 |
completed | May 16, 2026, 2:51 a.m. |
| NEDg | Description generation | batch_6a07dd93f7ac81908848148809d82212 |
completed | May 16, 2026, 2:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07de1fafa48190bb975c84402be882 |
completed | May 16, 2026, 3:01 a.m. |
Created at: April 10, 2026, 1:51 p.m.