Triple
T14259524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wounaan language |
E353474
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Wounaan meu
Wounaan meu is an indigenous language spoken by the Wounaan people of Panama and Colombia, belonging to the Chocoan language family.
|
E1089799
|
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: Wounaan meu | Statement: [Wounaan language, hasAlternativeName, Wounaan meu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wounaan meu Context triple: [Wounaan language, hasAlternativeName, Wounaan meu]
-
A.
MEU
MEU is the standard abbreviation for a Marine Expeditionary Unit, a forward-deployed, rapid-response task force of the United States Marine Corps.
-
B.
Weme
Weme is a dialect of the Fon language spoken by communities in parts of Benin and neighboring regions.
-
C.
Wo!!
Wo!! is a hit Nigerian street-hop single by rapper Olamide, known for its catchy beat, dance-inducing vibe, and massive popularity across Nigeria.
-
D.
Wanne
Wanne is a village in the municipality of Trois-Ponts in the province of Liège, Belgium, known for its hilly Ardennes landscape and cycling routes.
-
E.
WUN
WUN is a global consortium of research-intensive universities that collaborate on international education and research initiatives.
- 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: Wounaan meu Triple: [Wounaan language, hasAlternativeName, Wounaan meu]
Generated description
Wounaan meu is an indigenous language spoken by the Wounaan people of Panama and Colombia, belonging to the Chocoan language family.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wounaan meu Target entity description: Wounaan meu is an indigenous language spoken by the Wounaan people of Panama and Colombia, belonging to the Chocoan language family.
-
A.
MEU
MEU is the standard abbreviation for a Marine Expeditionary Unit, a forward-deployed, rapid-response task force of the United States Marine Corps.
-
B.
Weme
Weme is a dialect of the Fon language spoken by communities in parts of Benin and neighboring regions.
-
C.
Wo!!
Wo!! is a hit Nigerian street-hop single by rapper Olamide, known for its catchy beat, dance-inducing vibe, and massive popularity across Nigeria.
-
D.
Wanne
Wanne is a village in the municipality of Trois-Ponts in the province of Liège, Belgium, known for its hilly Ardennes landscape and cycling routes.
-
E.
WUN
WUN is the vehicle registration code for the district of Wunsiedel im Fichtelgebirge in Upper Franconia, Germany.
- 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_69d8278c43e08190824146f4632b89a5 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de635534988190816fdfb315cd2a3f |
completed | April 14, 2026, 3:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3260fdf88190b482480a17bd6674 |
completed | May 8, 2026, 12:46 a.m. |
| NEDg | Description generation | batch_69fd33cba18481908f2dfe358017f11b |
completed | May 8, 2026, 12:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd346ffb9c81909ec28e514ea5451b |
completed | May 8, 2026, 12:55 a.m. |
Created at: April 10, 2026, 1:09 a.m.