Triple
T37489908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diocese of Mogi das Cruzes |
E931651
|
entity |
| Predicate | cathedral |
P9020
|
FINISHED |
| Object |
Catedral de Sant’Ana (Mogi das Cruzes)
The Catedral de Sant’Ana is the principal Catholic church and religious landmark of Mogi das Cruzes, serving as the seat of the local diocese in the state of São Paulo, Brazil.
|
E2229329
|
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: Catedral de Sant’Ana (Mogi das Cruzes) | Statement: [Diocese of Mogi das Cruzes, cathedral, Catedral de Sant’Ana (Mogi das Cruzes)]
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: Catedral de Sant’Ana (Mogi das Cruzes) Triple: [Diocese of Mogi das Cruzes, cathedral, Catedral de Sant’Ana (Mogi das Cruzes)]
Generated description
The Catedral de Sant’Ana is the principal Catholic church and religious landmark of Mogi das Cruzes, serving as the seat of the local diocese in the state of São Paulo, Brazil.
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_69f76ec457a4819094eeb3aed9baac11 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fba37b118c81909c7550975a1acbd4 |
completed | May 6, 2026, 8:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a408c4684a08190a55fc69dc271f269 |
completed | June 28, 2026, 2:51 a.m. |
| NEDg | Description generation | batch_6a408dcfa3d88190b70579dceeaf8eb7 |
completed | June 28, 2026, 2:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a408e97e47c81909494b24e0e064f6f |
completed | June 28, 2026, 3:01 a.m. |
Created at: May 3, 2026, 4:17 p.m.