Triple

T29923108
Position Surface form Disambiguated ID Type / Status
Subject Sungurlare E760001 entity
Predicate locatedOn P40 FINISHED
Object Luda Kamchia River valley
The Luda Kamchia River valley is a river valley in eastern Bulgaria known for its scenic landscapes and agricultural significance along the Luda Kamchia River.
 E1890638 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: Luda Kamchia River valley | Statement: [Sungurlare, locatedOn, Luda Kamchia River valley]
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: Luda Kamchia River valley
Triple: [Sungurlare, locatedOn, Luda Kamchia River valley]
Generated description
The Luda Kamchia River valley is a river valley in eastern Bulgaria known for its scenic landscapes and agricultural significance along the Luda Kamchia 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_69f2246189fc8190996b63ee1f9a2374 completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69f677953ad0819099fa0d8006a65679 completed May 2, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a27141bdfa48190bcaefac95844a2ba completed June 8, 2026, 7:12 p.m.
NEDg Description generation batch_6a2714c737548190a30df9372a12fe0d completed June 8, 2026, 7:15 p.m.
NED2 Entity disambiguation (via description) batch_6a27169881f881909b270a024969a7df completed June 8, 2026, 7:23 p.m.
Created at: April 29, 2026, 6:15 p.m.