Triple
T36789076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Upper Town (Sibiu) |
E909002
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Lutheran Cathedral of Saint Mary (Sibiu)
The Lutheran Cathedral of Saint Mary in Sibiu is a prominent Gothic church and landmark of Transylvania, known for its towering spire and historical role as a central place of worship for the local Saxon community.
|
E2199481
|
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: Lutheran Cathedral of Saint Mary (Sibiu) | Statement: [Upper Town (Sibiu), hasPart, Lutheran Cathedral of Saint Mary (Sibiu)]
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: Lutheran Cathedral of Saint Mary (Sibiu) Triple: [Upper Town (Sibiu), hasPart, Lutheran Cathedral of Saint Mary (Sibiu)]
Generated description
The Lutheran Cathedral of Saint Mary in Sibiu is a prominent Gothic church and landmark of Transylvania, known for its towering spire and historical role as a central place of worship for the local Saxon community.
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_69f76e7a937c81909ed7359641e670f6 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7c9fcc1908190b2d1274de9fad808 |
completed | May 3, 2026, 10:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3d17a7e32081909273c276a7a087c2 |
completed | June 25, 2026, 11:57 a.m. |
| NEDg | Description generation | batch_6a3d22caef88819084e4c278d7a5b7ee |
completed | June 25, 2026, 12:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a3d715a991c8190b130e11d62a2c451 |
completed | June 25, 2026, 6:20 p.m. |
Created at: May 3, 2026, 4:12 p.m.