Triple

T27843424
Position Surface form Disambiguated ID Type / Status
Subject Goce Delčev monument E703749 entity
Predicate namedAfter P63 FINISHED
Object Goce Delčev
Goce Delčev was a revolutionary leader and key figure in the Macedonian and Bulgarian national movements against Ottoman rule in the late 19th and early 20th centuries.
E496970 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: Goce Delčev | Statement: [Goce Delčev monument, namedAfter, Goce Delčev]
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: Goce Delčev
Triple: [Goce Delčev monument, namedAfter, Goce Delčev]
Generated description
Goce Delčev was a revolutionary leader and key figure in the Macedonian and Bulgarian national movements against Ottoman rule in the late 19th and early 20th centuries.

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_69ef840d9e3c819093615ebff4ec22be completed April 27, 2026, 3:43 p.m.
NER Named-entity recognition batch_69f638d838c481909fbe470bb85c30b1 completed May 2, 2026, 5:48 p.m.
NED1 Entity disambiguation (via context triple) batch_6a15d77d8ff08190b119e8b1be855613 completed May 26, 2026, 5:25 p.m.
NEDg Description generation batch_6a15de108dfc81908231c00137179fc0 completed May 26, 2026, 5:53 p.m.
NED2 Entity disambiguation (via description) batch_6a15e112981c8190960f127f406f687a completed May 26, 2026, 6:06 p.m.
Created at: April 27, 2026, 6:05 p.m.