Triple
T15157527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barbacoan languages |
E362116
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Sindagua
Sindagua is an extinct Barbacoan language once spoken by indigenous communities in what is now southwestern Colombia.
|
E1141021
|
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: Sindagua | Statement: [Barbacoan languages, hasMember, Sindagua]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sindagua Context triple: [Barbacoan languages, hasMember, Sindagua]
-
A.
Mvita
Mvita is an alternative name for Kimvita, a historic Swahili settlement and cultural center on the coast of present-day Kenya.
-
B.
Kalambo
Kalambo is an agricultural research station site in the Lake Tanganyika region of Tanzania, known for supporting tropical crop and farming systems research.
-
C.
Gwembe
Gwembe is a small town in southern Zambia situated near the Zambezi Valley, historically associated with Tonga communities and resettlement related to the Kariba Dam.
-
D.
Mangole
Mangole is one of the principal islands of Indonesia’s Sula Islands archipelago in North Maluku Province.
-
E.
Ongwediva
Ongwediva is a growing town in northern Namibia known as an educational and commercial hub, hosting institutions like the University of Namibia’s campus and the annual Ongwediva Trade Fair.
- 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: Sindagua Triple: [Barbacoan languages, hasMember, Sindagua]
Generated description
Sindagua is an extinct Barbacoan language once spoken by indigenous communities in what is now southwestern Colombia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sindagua Target entity description: Sindagua is an extinct Barbacoan language once spoken by indigenous communities in what is now southwestern Colombia.
-
A.
Mvita
Mvita is an alternative name for Kimvita, a historic Swahili settlement and cultural center on the coast of present-day Kenya.
-
B.
Kalambo
Kalambo is an agricultural research station site in the Lake Tanganyika region of Tanzania, known for supporting tropical crop and farming systems research.
-
C.
Gwembe
Gwembe is a small town in southern Zambia situated near the Zambezi Valley, historically associated with Tonga communities and resettlement related to the Kariba Dam.
-
D.
Mangole
Mangole is one of the principal islands of Indonesia’s Sula Islands archipelago in North Maluku Province.
-
E.
Ongwediva
Ongwediva is a growing town in northern Namibia known as an educational and commercial hub, hosting institutions like the University of Namibia’s campus and the annual Ongwediva Trade Fair.
- 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_69d85a0759908190b8a051d2e2a1cbe6 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0060c62b08190bcdbd912d011d1ba |
completed | April 15, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fec88419108190860319a9bcab1eef |
completed | May 9, 2026, 5:39 a.m. |
| NEDg | Description generation | batch_69fec93f7c9c8190b9d1722180517d7c |
completed | May 9, 2026, 5:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fec9c518a08190b0ae7adad43a7f2c |
completed | May 9, 2026, 5:44 a.m. |
Created at: April 10, 2026, 3:08 a.m.