Triple
T6776933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paresí language |
E155580
|
entity |
| Predicate | glottologName |
P6521
|
FINISHED |
| Object |
Parecís
Parecís is an Arawakan language spoken by the Paresí (Haliti) Indigenous people of Brazil, primarily in the state of Mato Grosso.
|
E618310
|
NE FINISHED |
How this triple was built (4 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: Parecís | Statement: [Paresí language, glottologName, Parecís]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Parecís Context triple: [Paresí language, glottologName, Parecís]
-
A.
Pasochoa
Pasochoa is an extinct volcanic mountain in Ecuador known for its lush cloud forests and rich biodiversity within a protected ecological reserve.
-
B.
Terevaka
Terevaka is a large extinct volcanic peak that forms the highest and youngest of the three main volcanoes making up Easter Island.
-
C.
Palaonda
Palaonda is an indoor ice arena in Bolzano, Italy, primarily used for ice hockey and other sporting and entertainment events.
-
D.
Fiambalá
Fiambalá is a small town in northwestern Argentina known for its high-altitude vineyards, desert landscapes, and nearby Andean mountain passes.
-
E.
Comondú
Comondú is a municipality in the Mexican state of Baja California Sur, known for its agricultural valleys, coastal areas, and historic mission towns.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Parecís Triple: [Paresí language, glottologName, Parecís]
Generated description
Parecís is an Arawakan language spoken by the Paresí (Haliti) Indigenous people of Brazil, primarily in the state of Mato Grosso.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Parecís Target entity description: Parecís is an Arawakan language spoken by the Paresí (Haliti) Indigenous people of Brazil, primarily in the state of Mato Grosso.
-
A.
Pasochoa
Pasochoa is an extinct volcanic mountain in Ecuador known for its lush cloud forests and rich biodiversity within a protected ecological reserve.
-
B.
Terevaka
Terevaka is a large extinct volcanic peak that forms the highest and youngest of the three main volcanoes making up Easter Island.
-
C.
Palaonda
Palaonda is an indoor ice arena in Bolzano, Italy, primarily used for ice hockey and other sporting and entertainment events.
-
D.
Fiambalá
Fiambalá is a small town in northwestern Argentina known for its high-altitude vineyards, desert landscapes, and nearby Andean mountain passes.
-
E.
Comondú
Comondú is a municipality in the Mexican state of Baja California Sur, known for its agricultural valleys, coastal areas, and historic mission towns.
- F. None of above. chosen
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_69c688162bf8819088b664b5c3b5be7a |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d26725208190b64935cfd08b2aff |
completed | March 27, 2026, 6:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c712cc9ff08190bb7ec0bf4cc4db01 |
completed | March 27, 2026, 11:29 p.m. |
| NEDg | Description generation | batch_69c71396f1f88190b3316e694424a2fe |
completed | March 27, 2026, 11:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c71466728c81909a24174a7938b43a |
completed | March 27, 2026, 11:36 p.m. |
Created at: March 27, 2026, 2:13 p.m.