Triple
T8541821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pastaza Kichwa |
E202214
|
entity |
| Predicate | relatedGroup |
P37
|
FINISHED |
| Object |
Tena Kichwa
Tena Kichwa is a variety of Amazonian Kichwa spoken around the town of Tena in Ecuador, closely associated with the Indigenous Kichwa communities of that region.
|
E741173
|
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: Tena Kichwa | Statement: [Pastaza Kichwa, relatedGroup, Tena Kichwa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tena Kichwa Context triple: [Pastaza Kichwa, relatedGroup, Tena Kichwa]
-
A.
Gambiri Kati
Gambiri Kati is an alternative name for the Tregami language, an Indo-Iranian language spoken in parts of eastern Afghanistan.
-
B.
M’kira
M’kira is a small town and commune located in Tizi Ouzou Province in northern Algeria, within the Kabylie region.
-
C.
Matsigenka
The Matsigenka are an Indigenous people of the Peruvian Amazon known for their forest-based subsistence lifestyle, distinct language, and rich shamanic and cosmological traditions.
-
D.
Maanami Mamani
Maanami Mamani is a writer best known for contributing to the work "Through the Wire."
-
E.
Mandura Gumuz
Mandura Gumuz is a Gumuz language spoken by the Gumuz people of western Ethiopia.
- 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: Tena Kichwa Triple: [Pastaza Kichwa, relatedGroup, Tena Kichwa]
Generated description
Tena Kichwa is a variety of Amazonian Kichwa spoken around the town of Tena in Ecuador, closely associated with the Indigenous Kichwa communities of that region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tena Kichwa Target entity description: Tena Kichwa is a variety of Amazonian Kichwa spoken around the town of Tena in Ecuador, closely associated with the Indigenous Kichwa communities of that region.
-
A.
Gambiri Kati
Gambiri Kati is an alternative name for the Tregami language, an Indo-Iranian language spoken in parts of eastern Afghanistan.
-
B.
M’kira
M’kira is a small town and commune located in Tizi Ouzou Province in northern Algeria, within the Kabylie region.
-
C.
Matsigenka
The Matsigenka are an Indigenous people of the Peruvian Amazon known for their forest-based subsistence lifestyle, distinct language, and rich shamanic and cosmological traditions.
-
D.
Maanami Mamani
Maanami Mamani is a writer best known for contributing to the work "Through the Wire."
-
E.
Mandura Gumuz
Mandura Gumuz is a Gumuz language spoken by the Gumuz people of western Ethiopia.
- 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_69ca832461e88190a654c5e44e233aa8 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe6e10bc081909a7210c577b807fb |
completed | March 31, 2026, 3:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6da3d65c819087ed6b46dfc35885 |
completed | April 2, 2026, 1:22 p.m. |
| NEDg | Description generation | batch_69ce6ec3b080819082d64646d453541d |
completed | April 2, 2026, 1:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce6fe928d48190824e7a94fea5cfc0 |
completed | April 2, 2026, 1:32 p.m. |
Created at: March 30, 2026, 6:18 p.m.