Triple

T32941869
Position Surface form Disambiguated ID Type / Status
Subject Volga River at Tver E842690 entity
Predicate crossedBy P416 FINISHED
Object Old Volga Bridge (Tver)
Old Volga Bridge (Tver) is a historic road bridge in the Russian city of Tver, notable for its early 20th-century steel arch design and its role as a key crossing over the Volga River.
E2030466 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: Old Volga Bridge (Tver) | Statement: [Volga River at Tver, crossedBy, Old Volga Bridge (Tver)]
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: Old Volga Bridge (Tver)
Triple: [Volga River at Tver, crossedBy, Old Volga Bridge (Tver)]
Generated description
Old Volga Bridge (Tver) is a historic road bridge in the Russian city of Tver, notable for its early 20th-century steel arch design and its role as a key crossing over the Volga River.

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_69f34949727c81909d195c97de3341c8 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6d13cb194819094bafe026c67c121 completed May 3, 2026, 4:38 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34d26cfbe481909a4483422e9c8162 completed June 19, 2026, 5:23 a.m.
NEDg Description generation batch_6a34d343c9ec8190b802a41f6711b6c4 completed June 19, 2026, 5:27 a.m.
NED2 Entity disambiguation (via description) batch_6a34d405a48c8190ab95daacc1a06ff5 completed June 19, 2026, 5:30 a.m.
Created at: May 1, 2026, 1:20 a.m.