Triple

T26189449
Position Surface form Disambiguated ID Type / Status
Subject Operation Corridor 92 E654920 entity
Predicate theatre P671 FINISHED
Object Northern Bosnia front
The Northern Bosnia front was a key battleground in the Bosnian War, where opposing forces fought for control of strategic territory and supply routes in the northern part of Bosnia and Herzegovina.
 E1713186 NE FINISHED

How this triple was built (2 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: Northern Bosnia front | Statement: [Operation Corridor 92, theatre, Northern Bosnia front]
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: Northern Bosnia front
Triple: [Operation Corridor 92, theatre, Northern Bosnia front]
Generated description
The Northern Bosnia front was a key battleground in the Bosnian War, where opposing forces fought for control of strategic territory and supply routes in the northern part of Bosnia and Herzegovina.

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_69ee5b469bc081908fe486453fdad810 completed April 26, 2026, 6:36 p.m.
NER Named-entity recognition batch_69f60ca177ac81908b2bfd6b7c0f93e3 completed May 2, 2026, 2:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a118578382c8190b584528d71979ba5 completed May 23, 2026, 10:46 a.m.
NEDg Description generation batch_6a1185e028488190b74f377270fe1cdd completed May 23, 2026, 10:48 a.m.
NED2 Entity disambiguation (via description) batch_6a1186a40a3881908930fc8e7c8b9b63 completed May 23, 2026, 10:51 a.m.
Created at: April 26, 2026, 8:43 p.m.