Triple
T3085328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guaymí |
E64357
|
entity |
| Predicate | selfDesignation |
P974
|
FINISHED |
| Object | Ngäbe |
E74959
|
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: Ngäbe | Statement: [Guaymí, selfDesignation, Ngäbe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ngäbe Context triple: [Guaymí, selfDesignation, Ngäbe]
-
A.
Ngäbe
chosen
Ngäbe are an Indigenous people of Central America, primarily living in Panama and Costa Rica, known for their distinct Ngäbere language and rich cultural traditions.
-
B.
Nembe
Nembe is an Ijaw subgroup and town in Bayelsa State, Nigeria, known historically as a coastal trading center in the Niger Delta.
-
C.
Ndowe
Ndowe is a Bantu language spoken by the Ndowe people along the coastal region of Equatorial Guinea.
-
D.
Njaba
Njaba is a local government area in southeastern Nigeria known for its communities within Imo State and its role in local administration and commerce.
-
E.
Olosega
Olosega is a small volcanic island in the Manuʻa group of American Samoa, known for its dramatic cliffs, lush vegetation, and connection by bridge to the neighboring island of Ofu.
- 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_69ad857bb4c88190a4cf27893fcabed8 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada1eac5548190bee60ea8262c65a8 |
completed | March 8, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b20f4dc9d481908b64d2d2bca0381a |
completed | March 12, 2026, 12:56 a.m. |
Created at: March 8, 2026, 3:03 p.m.