Triple
T31174989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moosburg an der Isar |
E794718
|
entity |
| Predicate | hasReligiousBuilding |
P1191
|
FINISHED |
| Object |
St. Kastulus basilica
St. Kastulus Basilica is a historic Roman Catholic church in Moosburg an der Isar, Germany, notable for its medieval architecture and dedication to Saint Castulus.
|
E1950078
|
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: St. Kastulus basilica | Statement: [Moosburg an der Isar, hasReligiousBuilding, St. Kastulus basilica]
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: St. Kastulus basilica Triple: [Moosburg an der Isar, hasReligiousBuilding, St. Kastulus basilica]
Generated description
St. Kastulus Basilica is a historic Roman Catholic church in Moosburg an der Isar, Germany, notable for its medieval architecture and dedication to Saint Castulus.
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_69f224d5b9708190b6ca79ad2fd3a28a |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f698b3e96081909996ecea317507a4 |
completed | May 3, 2026, 12:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2947349288819081992684ec970ca9 |
completed | June 10, 2026, 11:15 a.m. |
| NEDg | Description generation | batch_6a2947e26f408190a9bc961974014450 |
completed | June 10, 2026, 11:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a294eee82d48190a23f96b28727b881 |
completed | June 10, 2026, 11:47 a.m. |
Created at: April 29, 2026, 9:07 p.m.