Triple
T9191062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | East African languages |
E220588
|
entity |
| Predicate | includesLanguage |
P2177
|
FINISHED |
| Object |
Chaga
Chaga is a Bantu language spoken primarily by the Chaga people on the slopes of Mount Kilimanjaro in northern Tanzania.
|
E783934
|
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: Chaga | Statement: [East African languages, includesLanguage, Chaga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chaga Context triple: [East African languages, includesLanguage, Chaga]
-
A.
Tuber melanosporum
Tuber melanosporum is a highly prized edible black truffle species known for its intense aroma and culinary value, especially in French and Italian cuisine.
-
B.
Morel
Morel is a Spanish-origin surname borne by various notable individuals across the Spanish-speaking world.
-
C.
Bee Mushroom
Bee Mushroom is a power-up item in the Super Mario series that transforms Mario into Bee Mario, granting him limited flight and the ability to cling to certain surfaces.
-
D.
Gomba
Gomba is a district within the Buganda region of central Uganda, known primarily for its rural communities and agricultural activities.
-
E.
Merula
Merula was a cognomen used by members of the ancient Roman gens Cornelia, a prominent patrician family in the Roman Republic.
- 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: Chaga Triple: [East African languages, includesLanguage, Chaga]
Generated description
Chaga is a Bantu language spoken primarily by the Chaga people on the slopes of Mount Kilimanjaro in northern Tanzania.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chaga Target entity description: Chaga is a Bantu language spoken primarily by the Chaga people on the slopes of Mount Kilimanjaro in northern Tanzania.
-
A.
Tuber melanosporum
Tuber melanosporum is a highly prized edible black truffle species known for its intense aroma and culinary value, especially in French and Italian cuisine.
-
B.
Morel
Morel is a Spanish-origin surname borne by various notable individuals across the Spanish-speaking world.
-
C.
Bee Mushroom
Bee Mushroom is a power-up item in the Super Mario series that transforms Mario into Bee Mario, granting him limited flight and the ability to cling to certain surfaces.
-
D.
Gomba
Gomba is a district within the Buganda region of central Uganda, known primarily for its rural communities and agricultural activities.
-
E.
Merula
Merula was a cognomen used by members of the ancient Roman gens Cornelia, a prominent patrician family in the Roman Republic.
- 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_69ca83e7ba70819088b74866d9da2c30 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd5bf25c081909e651b67ef8ecc33 |
completed | April 1, 2026, 8:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d05c272f508190aade1769c88cf16d |
completed | April 4, 2026, 12:32 a.m. |
| NEDg | Description generation | batch_69d05cda59f88190bcde5a91aec2f9dd |
completed | April 4, 2026, 12:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d05ddd28008190b82c42220871e73f |
completed | April 4, 2026, 12:39 a.m. |
Created at: March 30, 2026, 7:24 p.m.