Triple

T27122710
Position Surface form Disambiguated ID Type / Status
Subject Karel Schwarzenberg E687044 entity
Predicate politicalParty P352 FINISHED
Object Civic Democratic Alliance
The Civic Democratic Alliance was a Czech liberal-conservative political party active mainly in the 1990s, known for its pro-market reforms and participation in early post-communist coalition governments.
 E1756266 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: Civic Democratic Alliance | Statement: [Karel Schwarzenberg, politicalParty, Civic Democratic Alliance]
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: Civic Democratic Alliance
Triple: [Karel Schwarzenberg, politicalParty, Civic Democratic Alliance]
Generated description
The Civic Democratic Alliance was a Czech liberal-conservative political party active mainly in the 1990s, known for its pro-market reforms and participation in early post-communist coalition governments.

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_69ef148c2b588190afc15b529f7af845 completed April 27, 2026, 7:47 a.m.
NER Named-entity recognition batch_69f624454be48190908449be1be4d1a4 completed May 2, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_6a124817726c8190bea17e2dccc2bd7c completed May 24, 2026, 12:36 a.m.
NEDg Description generation batch_6a12488822208190aab1355ac3efd2a6 completed May 24, 2026, 12:38 a.m.
NED2 Entity disambiguation (via description) batch_6a124935c01c8190b9d6d13c4f50a104 completed May 24, 2026, 12:41 a.m.
Created at: April 27, 2026, 9 a.m.