Triple
T15823173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Embera Katío language |
E383663
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Emberá Katío
Emberá Katío is an indigenous language of the Emberá people, spoken primarily in Colombia and belonging to the Chocoan language family.
|
E1178069
|
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: Emberá Katío | Statement: [Embera Katío language, hasAlternativeName, Emberá Katío]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emberá Katío Context triple: [Embera Katío language, hasAlternativeName, Emberá Katío]
-
A.
Epena Emberá
Epena Emberá is an indigenous Chocoan language spoken by the Emberá people primarily in Colombia and Panama.
-
B.
Oluta Zoque
Oluta Zoque is a Zoquean language spoken by the indigenous Oluta Popoluca people in the state of Veracruz, Mexico.
-
C.
Gracie Humaitá
Gracie Humaitá is a renowned Brazilian jiu-jitsu academy and team founded by members of the Gracie family, known for producing many world-class practitioners and champions.
-
D.
Mayte
Mayte is a Spanish feminine given name, often used as a diminutive of María Teresa or similar compound names.
-
E.
Mayte
Mayte is the given first name of American actress Michelle Rodriguez, known for her roles in action films and the Fast & Furious franchise.
- 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: Emberá Katío Triple: [Embera Katío language, hasAlternativeName, Emberá Katío]
Generated description
Emberá Katío is an indigenous language of the Emberá people, spoken primarily in Colombia and belonging to the Chocoan language family.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Emberá Katío Target entity description: Emberá Katío is an indigenous language of the Emberá people, spoken primarily in Colombia and belonging to the Chocoan language family.
-
A.
Epena Emberá
Epena Emberá is an indigenous Chocoan language spoken by the Emberá people primarily in Colombia and Panama.
-
B.
Oluta Zoque
Oluta Zoque is a Zoquean language spoken by the indigenous Oluta Popoluca people in the state of Veracruz, Mexico.
-
C.
Gracie Humaitá
Gracie Humaitá is a renowned Brazilian jiu-jitsu academy and team founded by members of the Gracie family, known for producing many world-class practitioners and champions.
-
D.
Mayte
Mayte is a Spanish feminine given name, often used as a diminutive of María Teresa or similar compound names.
-
E.
Mayte
Mayte is the given first name of American actress Michelle Rodriguez, known for her roles in action films and the Fast & Furious franchise.
- 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_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_69ff999bba548190a39adc2d0e11c605 |
completed | May 9, 2026, 8:31 p.m. |
| NEDg | Description generation | batch_69ff9a56d43c8190819deb48d59e16cb |
completed | May 9, 2026, 8:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff9acbd2b481908b9d415e26d0db81 |
completed | May 9, 2026, 8:36 p.m. |
Created at: April 10, 2026, 4:49 a.m.