Triple
T31952589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moluche |
E815819
|
entity |
| Predicate | distinctionFrom |
P1612
|
FINISHED |
| Object |
Picunche of north-central Chile
The Picunche of north-central Chile were an indigenous Mapuche-related people known for their agricultural communities and early contact with Spanish colonizers in the region.
|
E1984566
|
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: Picunche of north-central Chile | Statement: [Moluche, distinctionFrom, Picunche of north-central Chile]
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: Picunche of north-central Chile Triple: [Moluche, distinctionFrom, Picunche of north-central Chile]
Generated description
The Picunche of north-central Chile were an indigenous Mapuche-related people known for their agricultural communities and early contact with Spanish colonizers in the region.
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_69f348f4ec708190abbb2a7c3ed58844 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b2ac9bd481909a1e8adb4e294262 |
completed | May 3, 2026, 2:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2e8a4bf8f881908d751241b633f64a |
completed | June 14, 2026, 11:02 a.m. |
| NEDg | Description generation | batch_6a2e8aba8d9481908df3439168b0f62f |
completed | June 14, 2026, 11:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a2e8b6f6f2c819098e1787c61964edd |
completed | June 14, 2026, 11:07 a.m. |
Created at: May 1, 2026, 12:07 a.m.