Triple
T5508944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lazic War |
E144512
|
entity |
| Predicate | commandedBy |
P1407
|
FINISHED |
| Object |
Nachoragan
Nachoragan was a Byzantine military commander known for leading imperial forces during the Lazic War in the 6th century.
|
E531487
|
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: Nachoragan | Statement: [Lazic War, commandedBy, Nachoragan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nachoragan Context triple: [Lazic War, commandedBy, Nachoragan]
-
A.
Gharaunda
Gharaunda is a town in the Indian state of Haryana known for its agricultural market and proximity to the historic city of Karnal.
-
B.
Radwar
Radwar is a prominent Polish defense company known for developing and producing advanced radar and air-defense systems.
-
C.
Gardabani
Gardabani is a town in southeastern Georgia known for its role as an industrial and energy hub within the Kvemo Kartli region.
-
D.
Horki
Horki is a town in eastern Belarus known for its agricultural academy and regional administrative significance.
-
E.
Hethuska
Hethuska is a traditional Omaha warrior society and ceremonial dance organization known for its role in preserving tribal military and cultural traditions.
- 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: Nachoragan Triple: [Lazic War, commandedBy, Nachoragan]
Generated description
Nachoragan was a Byzantine military commander known for leading imperial forces during the Lazic War in the 6th century.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nachoragan Target entity description: Nachoragan was a Byzantine military commander known for leading imperial forces during the Lazic War in the 6th century.
-
A.
Gharaunda
Gharaunda is a town in the Indian state of Haryana known for its agricultural market and proximity to the historic city of Karnal.
-
B.
Radwar
Radwar is a prominent Polish defense company known for developing and producing advanced radar and air-defense systems.
-
C.
Gardabani
Gardabani is a town in southeastern Georgia known for its role as an industrial and energy hub within the Kvemo Kartli region.
-
D.
Horki
Horki is a town in eastern Belarus known for its agricultural academy and regional administrative significance.
-
E.
Hethuska
Hethuska is a traditional Omaha warrior society and ceremonial dance organization known for its role in preserving tribal military and cultural traditions.
- 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_69c008f6b5048190a09064116062cf69 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f4a80d88190bab0056c4c78be93 |
completed | March 22, 2026, 4:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c027c4b6c0819086c7c64911c7106e |
completed | March 22, 2026, 5:32 p.m. |
| NEDg | Description generation | batch_69c033db6ebc8190ab35c707b846426d |
completed | March 22, 2026, 6:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0345cd5b88190855efd8c1bb94693 |
completed | March 22, 2026, 6:26 p.m. |
Created at: March 22, 2026, 3:33 p.m.