Triple
T14998684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chagga people |
E374025
|
entity |
| Predicate | ethnonym |
P4709
|
FINISHED |
| Object | Chaga |
E783934
|
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: Chaga | Statement: [Chagga people, ethnonym, Chaga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chaga Context triple: [Chagga people, ethnonym, Chaga]
-
A.
Chaga
chosen
Chaga is a Bantu language spoken primarily by the Chaga people on the slopes of Mount Kilimanjaro in northern Tanzania.
-
B.
Aremanita
Aremanita is a prominent supporters’ group of the Indonesian football club Arema FC, known for its passionate and organized fan culture.
-
C.
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.
-
D.
Morel
Morel is a Spanish-origin surname borne by various notable individuals across the Spanish-speaking world.
-
E.
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.
- 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_69d85ccc84388190aa151e5173370c8d |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded71a5618819083ae96a79735ef98 |
completed | April 15, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe969c3ba88190899f06b185e94ccf |
completed | May 9, 2026, 2:06 a.m. |
Created at: April 10, 2026, 2:54 a.m.