Triple
T10065733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luhansk Oblast |
E213097
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Antratsyt
Antratsyt is a coal-mining city in eastern Ukraine’s Donbas region, known for its industrial character and location within the contested Luhansk area.
|
E838883
|
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: Antratsyt | Statement: [Luhansk Oblast, containsCity, Antratsyt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Antratsyt Context triple: [Luhansk Oblast, containsCity, Antratsyt]
-
A.
Bronnitsy
Bronnitsy is a historic town in Russia known for its jewelry-making traditions and its location southeast of Moscow along the Moskva River.
-
B.
Aukra
Aukra is a coastal municipality in western Norway known for its fishing industry and offshore petroleum-related activities.
-
C.
Drutsk
Drutsk is a historic town in present-day Belarus that originated as a medieval settlement within the Principality of Polotsk.
-
D.
Barysaw
Barysaw is a city in Belarus known as an important industrial and transportation center northeast of Minsk.
-
E.
Prystaiko
Prystaiko is the surname of Vadym Prystaiko, a Ukrainian diplomat and former Minister of Foreign Affairs.
- 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: Antratsyt Triple: [Luhansk Oblast, containsCity, Antratsyt]
Generated description
Antratsyt is a coal-mining city in eastern Ukraine’s Donbas region, known for its industrial character and location within the contested Luhansk area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Antratsyt Target entity description: Antratsyt is a coal-mining city in eastern Ukraine’s Donbas region, known for its industrial character and location within the contested Luhansk area.
-
A.
Bronnitsy
Bronnitsy is a historic town in Russia known for its jewelry-making traditions and its location southeast of Moscow along the Moskva River.
-
B.
Aukra
Aukra is a coastal municipality in western Norway known for its fishing industry and offshore petroleum-related activities.
-
C.
Drutsk
Drutsk is a historic town in present-day Belarus that originated as a medieval settlement within the Principality of Polotsk.
-
D.
Barysaw
Barysaw is a city in Belarus known as an important industrial and transportation center northeast of Minsk.
-
E.
Prystaiko
Prystaiko is the surname of Vadym Prystaiko, a Ukrainian diplomat and former Minister of Foreign Affairs.
- 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_69ca83977128819084084eb7d1d8c52a |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdcff51b108190b6759f651d4ba2d2 |
completed | April 2, 2026, 2:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d29a84c3308190ba9286053c1017dc |
completed | April 5, 2026, 5:23 p.m. |
| NEDg | Description generation | batch_69d29b985e308190a6ec3966e02f429c |
completed | April 5, 2026, 5:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d29c5f64c881909aa3d093422fe475 |
completed | April 5, 2026, 5:31 p.m. |
Created at: March 30, 2026, 8:58 p.m.