Triple
T13937701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alago people |
E335161
|
entity |
| Predicate | language |
P15
|
FINISHED |
| Object |
Alago language
The Alago language is a Niger-Congo language spoken by the Alago people of central Nigeria.
|
E1070888
|
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: Alago language | Statement: [Alago people, language, Alago language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alago language Context triple: [Alago people, language, Alago language]
-
A.
Alagwa language
The Alagwa language is a South Cushitic language spoken by the Alagwa people of north-central Tanzania.
-
B.
Warao language
The Warao language is an indigenous language isolate spoken by the Warao people of northeastern Venezuela and nearby regions, particularly in the Orinoco Delta.
-
C.
Apurinã language
The Apurinã language is an indigenous Arawakan language spoken by the Apurinã people of the Brazilian Amazon, known for its complex verbal morphology and endangered status.
-
D.
Galela language
The Galela language is an Austronesian language spoken by the Galela people in northern Halmahera, Indonesia.
-
E.
Tapirapé language
Tapirapé is an indigenous Tupian language spoken by the Tapirapé people of Brazil, known for its complex morphology and endangered status.
- 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: Alago language Triple: [Alago people, language, Alago language]
Generated description
The Alago language is a Niger-Congo language spoken by the Alago people of central Nigeria.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alago language Target entity description: The Alago language is a Niger-Congo language spoken by the Alago people of central Nigeria.
-
A.
Alagwa language
The Alagwa language is a South Cushitic language spoken by the Alagwa people of north-central Tanzania.
-
B.
Warao language
The Warao language is an indigenous language isolate spoken by the Warao people of northeastern Venezuela and nearby regions, particularly in the Orinoco Delta.
-
C.
Apurinã language
The Apurinã language is an indigenous Arawakan language spoken by the Apurinã people of the Brazilian Amazon, known for its complex verbal morphology and endangered status.
-
D.
Galela language
The Galela language is an Austronesian language spoken by the Galela people in northern Halmahera, Indonesia.
-
E.
Tapirapé language
Tapirapé is an indigenous Tupian language spoken by the Tapirapé people of Brazil, known for its complex morphology and endangered status.
- 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_69d81c6081b88190b53e317c3370c8fe |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2cf5cc8c8190bea74291702b2925 |
completed | April 14, 2026, 12:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7ce89d2348190b5a50376c2b8248c |
completed | May 3, 2026, 10:39 p.m. |
| NEDg | Description generation | batch_69f7cfe8dca08190825b8e1bbfe411a6 |
completed | May 3, 2026, 10:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fb5504702081908a1492f1a8e24434 |
completed | May 6, 2026, 2:49 p.m. |
Created at: April 9, 2026, 10:17 p.m.