Triple
T8359884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chiquitano |
E196979
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Bésɨro
Bésɨro is an indigenous language of the Chiquitano people of Bolivia, known for its unique phonology and endangered status.
|
E728899
|
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: Bésɨro | Statement: [Chiquitano, hasAlternativeName, Bésɨro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bésɨro Context triple: [Chiquitano, hasAlternativeName, Bésɨro]
-
A.
Bènizàa
Bènizàa is the self-designation used by a Zapotec people of Oaxaca, Mexico, reflecting their own name and identity distinct from the externally applied term "Zapotec."
-
B.
Bisharin
Bisharin are a subgroup of the Beja people, traditionally semi-nomadic pastoralists inhabiting parts of northeastern Sudan and southern Egypt.
-
C.
Borbera
Borbera is a river in northwestern Italy that flows through the Piedmont region before joining the Tanaro.
-
D.
Bessude
Bessude is a small municipality in the Logudoro region of northern Sardinia, Italy, known for its rural landscape and traditional Sardinian culture.
-
E.
Bisha
Bisha is a major inland city in southwestern Saudi Arabia known for its agricultural production and strategic location within the Asir region.
- 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: Bésɨro Triple: [Chiquitano, hasAlternativeName, Bésɨro]
Generated description
Bésɨro is an indigenous language of the Chiquitano people of Bolivia, known for its unique phonology and endangered status.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bésɨro Target entity description: Bésɨro is an indigenous language of the Chiquitano people of Bolivia, known for its unique phonology and endangered status.
-
A.
Bènizàa
Bènizàa is the self-designation used by a Zapotec people of Oaxaca, Mexico, reflecting their own name and identity distinct from the externally applied term "Zapotec."
-
B.
Bisharin
Bisharin are a subgroup of the Beja people, traditionally semi-nomadic pastoralists inhabiting parts of northeastern Sudan and southern Egypt.
-
C.
Beita
Beita is a Palestinian town in the central West Bank known for its location south of Nablus and for frequent land and settlement-related tensions with Israeli authorities and settlers.
-
D.
Borbera
Borbera is a river in northwestern Italy that flows through the Piedmont region before joining the Tanaro.
-
E.
Bessude
Bessude is a small municipality in the Logudoro region of northern Sardinia, Italy, known for its rural landscape and traditional Sardinian culture.
- 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_69ca82f2dbe48190aba982e75a0d94de |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb807134008190b4671326e0414210 |
completed | March 31, 2026, 8:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cdc775a548819090c83d916b352f41 |
completed | April 2, 2026, 1:33 a.m. |
| NEDg | Description generation | batch_69cdcc872cc081909c75b3fb08b03e3f |
completed | April 2, 2026, 1:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cdd15b53748190966a94b7e8c04880 |
completed | April 2, 2026, 2:15 a.m. |
Created at: March 30, 2026, 6 p.m.