Triple
T8128425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bulgarian Army |
E189792
|
entity |
| Predicate | trainingFacility |
P345
|
FINISHED |
| Object |
Novo Selo Training Area
Novo Selo Training Area is a major Bulgarian military training ground, frequently used for joint exercises with NATO and U.S. forces.
|
E714708
|
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: Novo Selo Training Area | Statement: [Bulgarian Army, trainingFacility, Novo Selo Training Area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Novo Selo Training Area Context triple: [Bulgarian Army, trainingFacility, Novo Selo Training Area]
-
A.
Baros military area
Baros military area is a military installation located in Cimahi, Indonesia, serving as one of the key army facilities in the region.
-
B.
Titov Vrv
Titov Vrv is a prominent mountain peak in the Balkans located on the Šar Mountains range in North Macedonia.
-
C.
Maloyaroslavets
Maloyaroslavets is a historic town in western Russia known for the 1812 Battle of Maloyaroslavets during Napoleon’s invasion.
-
D.
Vidnoye
Vidnoye is a small town in Moscow Oblast, Russia, functioning largely as a residential and industrial satellite of Moscow.
-
E.
Kbely Air Base
Kbely Air Base is a major military airfield near Prague that serves as one of the principal operational and logistical hubs of the Czech Air Force.
- 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: Novo Selo Training Area Triple: [Bulgarian Army, trainingFacility, Novo Selo Training Area]
Generated description
Novo Selo Training Area is a major Bulgarian military training ground, frequently used for joint exercises with NATO and U.S. forces.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Novo Selo Training Area Target entity description: Novo Selo Training Area is a major Bulgarian military training ground, frequently used for joint exercises with NATO and U.S. forces.
-
A.
Baros military area
Baros military area is a military installation located in Cimahi, Indonesia, serving as one of the key army facilities in the region.
-
B.
Titov Vrv
Titov Vrv is a prominent mountain peak in the Balkans located on the Šar Mountains range in North Macedonia.
-
C.
Maloyaroslavets
Maloyaroslavets is a historic town in western Russia known for the 1812 Battle of Maloyaroslavets during Napoleon’s invasion.
-
D.
Vidnoye
Vidnoye is a small town in Moscow Oblast, Russia, functioning largely as a residential and industrial satellite of Moscow.
-
E.
Kbely Air Base
Kbely Air Base is a major military airfield near Prague that serves as one of the principal operational and logistical hubs of the Czech Air Force.
- 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_69ca82bcb4848190a9a9d036ad768642 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb439190d88190aa614445c7479353 |
completed | March 31, 2026, 3:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc947303f881908e16af664fb74dc8 |
completed | April 1, 2026, 3:43 a.m. |
| NEDg | Description generation | batch_69cca83322748190bdd532552d972089 |
completed | April 1, 2026, 5:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cca913304c8190a0ce9c468d98269f |
completed | April 1, 2026, 5:11 a.m. |
Created at: March 30, 2026, 5:34 p.m.