Triple
T28178808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Serra do Cipó National Park |
E715967
|
entity |
| Predicate | mainAccessTown |
P22318
|
FINISHED |
| Object |
Serra do Cipó district
Serra do Cipó district is a small tourist-oriented locality in Minas Gerais, Brazil, known as a gateway to the waterfalls, trails, and natural landscapes of Serra do Cipó National Park.
|
E1807065
|
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: Serra do Cipó district | Statement: [Serra do Cipó National Park, mainAccessTown, Serra do Cipó district]
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: Serra do Cipó district Triple: [Serra do Cipó National Park, mainAccessTown, Serra do Cipó district]
Generated description
Serra do Cipó district is a small tourist-oriented locality in Minas Gerais, Brazil, known as a gateway to the waterfalls, trails, and natural landscapes of Serra do Cipó National Park.
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_69efd6b4fc5c81909dd88f01a8c2b35d |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f642816d1c8190a507dad7bb85dfa5 |
completed | May 2, 2026, 6:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a15d7c474a08190a704576beadfd8a5 |
completed | May 26, 2026, 5:26 p.m. |
| NEDg | Description generation | batch_6a15de82df9c819086a23a312d6af047 |
completed | May 26, 2026, 5:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a15df658d60819094a201ee2233fa73 |
completed | May 26, 2026, 5:59 p.m. |
Created at: April 27, 2026, 10:18 p.m.