Triple
T15823178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Embera Katío language |
E383663
|
entity |
| Predicate | languageGroup |
P3349
|
FINISHED |
| Object | Embera |
E81295
|
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: Embera | Statement: [Embera Katío language, languageGroup, Embera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Embera Context triple: [Embera Katío language, languageGroup, Embera]
-
A.
Embera
chosen
Embera is an Indigenous people of Colombia and Panama known for their distinct languages, traditional riverine communities, and rich artistic and spiritual practices.
-
B.
Eromba
Eromba is a traditional Meitei dish from Manipur, typically made by boiling and mashing vegetables with fermented fish and chili to create a spicy, flavorful preparation.
-
C.
Rotigenga
Rotigenga is a dialect of the Datooga language spoken by a subgroup of the Datooga people in Tanzania.
-
D.
Canacona
Canacona is a coastal town in southern Goa, India, known for its scenic beaches, relaxed atmosphere, and popularity as a tourist destination.
-
E.
Erba
Erba is a town in the Lombardy region of northern Italy, situated near Lake Como and known for its scenic surroundings and local industry.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d86da34c888190976e06c4019d415a |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0c4a96b848190845cf547034a24f2 |
completed | April 16, 2026, 11:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa93be478819099908e7242f532d7 |
completed | May 9, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:49 a.m.