Triple

T30522802
Position Surface form Disambiguated ID Type / Status
Subject Warsaw Gate in Opatów E776743 entity
Predicate hasNameInPolish P15778 FINISHED
Object Brama Warszawska w Opatowie
Brama Warszawska w Opatowie is a historic city gate in the town of Opatów, Poland, serving as one of its best-known architectural landmarks and remnants of its former fortifications.
E1920283 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: Brama Warszawska w Opatowie | Statement: [Warsaw Gate in Opatów, hasNameInPolish, Brama Warszawska w Opatowie]
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: Brama Warszawska w Opatowie
Triple: [Warsaw Gate in Opatów, hasNameInPolish, Brama Warszawska w Opatowie]
Generated description
Brama Warszawska w Opatowie is a historic city gate in the town of Opatów, Poland, serving as one of its best-known architectural landmarks and remnants of its former fortifications.

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_69f2249b23c4819087fa85496d92f43f completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f6880c137c81908c06a945d3cf4146 completed May 2, 2026, 11:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a27be73b1f48190b8f57b64f4e7450a completed June 9, 2026, 7:19 a.m.
NEDg Description generation batch_6a27c253a9608190ab50baafccdbb7a7 completed June 9, 2026, 7:35 a.m.
NED2 Entity disambiguation (via description) batch_6a27c2b662308190a526bf9805b8b0c6 completed June 9, 2026, 7:37 a.m.
Created at: April 29, 2026, 8:17 p.m.