Triple
T16024833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mam language |
E388690
|
entity |
| Predicate | associatedEthnicity |
P194
|
FINISHED |
| Object | Mam Maya |
E819765
|
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: Mam Maya | Statement: [Mam language, associatedEthnicity, Mam Maya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mam Maya Context triple: [Mam language, associatedEthnicity, Mam Maya]
-
A.
Mam Maya
chosen
Mam Maya are an Indigenous Maya people of the highlands of Guatemala and parts of Mexico, known for their distinct Mayan language, traditional weaving, and resilient cultural practices.
-
B.
Maiya
Maiya is a reverential term used in parts of India to address or invoke a mother goddess figure, particularly in Hindu devotional contexts.
-
C.
Mama Tata
Mama Tata is a syncretic indigenous religious movement of the Ngäbe-Buglé people in Panama that blends traditional beliefs with elements of Christianity.
-
D.
Mama Gunda
Mama Gunda is a tough, domineering female gorilla and the overprotective mother of Uto and Kago in Disney’s animated film "Tarzan II."
-
E.
Majha
Majha is a culturally significant region of Punjab in northern India, traditionally known as the heartland of Sikh culture and history.
- 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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e183258c708190acf1588c7ccb254c |
completed | April 17, 2026, 12:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf31c8d8819096c562ba1453f3c0 |
completed | May 10, 2026, 12:20 a.m. |
Created at: April 10, 2026, 4:55 a.m.