Triple
T15113788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tarok |
E360981
|
entity |
| Predicate | neighboringEthnicGroup |
P11274
|
FINISHED |
| Object | Mada |
E1116309
|
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: Mada | Statement: [Tarok, neighboringEthnicGroup, Mada]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mada Context triple: [Tarok, neighboringEthnicGroup, Mada]
-
A.
Mada
chosen
Mada is an ethnic group in central Nigeria, known for its distinct language and culture and for living in close proximity to the Eggon people.
-
B.
Mado
Mado is a French film written by Gérard Brach, known as one of his notable screenwriting works.
-
C.
Madda
Madda is a short form or nickname derived from the given name Maddalena.
-
D.
Madi
Madi is a Central Sudanic language spoken primarily by the Madi people in parts of South Sudan and northern Uganda.
-
E.
Mawé
Mawé is an indigenous Tupian language spoken by the Sateré-Mawé people of the Brazilian Amazon.
- 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_69d85a0491ec8190830960be8fafb994 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0058f4fb88190a3d446a466aebcf1 |
completed | April 15, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feb7eccb988190aae27dd28cf50997 |
completed | May 9, 2026, 4:28 a.m. |
Created at: April 10, 2026, 3:05 a.m.