Triple

T27440127
Position Surface form Disambiguated ID Type / Status
Subject Maximilian Francis of Austria E690907 entity
Predicate deathPlace P21 FINISHED
Object Hetzendorf Palace
Hetzendorf Palace is a historic Baroque residence in Vienna, Austria, associated with the Habsburg dynasty and used as an imperial summer and hunting lodge.
E1777099 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: Hetzendorf Palace | Statement: [Maximilian Francis of Austria, deathPlace, Hetzendorf Palace]
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: Hetzendorf Palace
Triple: [Maximilian Francis of Austria, deathPlace, Hetzendorf Palace]
Generated description
Hetzendorf Palace is a historic Baroque residence in Vienna, Austria, associated with the Habsburg dynasty and used as an imperial summer and hunting lodge.

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_69ef5200fa0481908e28508d6e2c149e completed April 27, 2026, 12:09 p.m.
NER Named-entity recognition batch_69f62d8ce3f4819091ce2f5f909d5124 completed May 2, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12c5995ffc8190bac3a5e1c6b5e9d1 completed May 24, 2026, 9:32 a.m.
NEDg Description generation batch_6a12c6431ff8819092864b074cc494b8 completed May 24, 2026, 9:34 a.m.
NED2 Entity disambiguation (via description) batch_6a12c6c3a8fc819083942c89ff00352b completed May 24, 2026, 9:37 a.m.
Created at: April 27, 2026, 12:44 p.m.