Triple
T25160558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Court Church |
E626424
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Court Church Innsbruck
Court Church Innsbruck is a historic Gothic church in Innsbruck, Austria, renowned for its elaborate cenotaph of Emperor Maximilian I surrounded by life-size bronze statues.
|
E1678207
|
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: Court Church Innsbruck | Statement: [Court Church, hasAlternativeName, Court Church Innsbruck]
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: Court Church Innsbruck Triple: [Court Church, hasAlternativeName, Court Church Innsbruck]
Generated description
Court Church Innsbruck is a historic Gothic church in Innsbruck, Austria, renowned for its elaborate cenotaph of Emperor Maximilian I surrounded by life-size bronze statues.
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_69e2ff2834ec8190b0872e2ec3d76023 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f46b8d45548190a5bdb4fba1d3ba4e |
completed | May 1, 2026, 8:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a1089644db08190bdc2968234067d53 |
completed | May 22, 2026, 4:50 p.m. |
| NEDg | Description generation | batch_6a108a0af25481909d520360b86ff170 |
completed | May 22, 2026, 4:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a108afb4ad08190a1e9bcd731d98fcb |
completed | May 22, 2026, 4:57 p.m. |
Created at: April 18, 2026, 6:31 a.m.