Triple

T24960153
Position Surface form Disambiguated ID Type / Status
Subject Princess Ljubica's Residence E624583 entity
Predicate locatedNear P294 FINISHED
Object Kosancicev Venac neighborhood
Kosančićev Venac is a historic and picturesque neighborhood in central Belgrade, known for its cobblestone streets, traditional architecture, and cultural landmarks overlooking the Sava River.
E1656461 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: Kosancicev Venac neighborhood | Statement: [Princess Ljubica's Residence, locatedNear, Kosancicev Venac neighborhood]
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: Kosancicev Venac neighborhood
Triple: [Princess Ljubica's Residence, locatedNear, Kosancicev Venac neighborhood]
Generated description
Kosančićev Venac is a historic and picturesque neighborhood in central Belgrade, known for its cobblestone streets, traditional architecture, and cultural landmarks overlooking the Sava 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_69e2ff23a3a88190b1b9743fe5e15f94 completed April 18, 2026, 3:48 a.m.
NER Named-entity recognition batch_69f4242c447c8190bf7972390ac93814 completed May 1, 2026, 3:55 a.m.
NED1 Entity disambiguation (via context triple) batch_6a103352b14481908d4db829007d1482 completed May 22, 2026, 10:43 a.m.
NEDg Description generation batch_6a10343efd288190884ee9ebcb1b4afb completed May 22, 2026, 10:47 a.m.
NED2 Entity disambiguation (via description) batch_6a1034f2e0b88190b296a251056bce15 completed May 22, 2026, 10:50 a.m.
Created at: April 18, 2026, 5:58 a.m.