Triple
T10595887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zoque |
E250110
|
entity |
| Predicate | neighboringGroups |
P5965
|
FINISHED |
| Object | Mixe |
E193681
|
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: Mixe | Statement: [Zoque, neighboringGroups, Mixe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mixe Context triple: [Zoque, neighboringGroups, Mixe]
-
A.
Mixe
The Mixe are an Indigenous people of Oaxaca, Mexico, known for their distinct language, highland communities, and resilient preservation of traditional culture.
-
B.
The Mix
The Mix is a UK-based digital support service offering free, confidential help and counseling for young people facing mental health, relationship, and life challenges.
-
C.
Mixe people
chosen
The Mixe people are an indigenous Mesoamerican group of the Sierra Norte region of Oaxaca, Mexico, known for their Mixe–Zoquean language, resilient communal traditions, and relative cultural and linguistic continuity.
-
D.
Mallians
The Mallians were an ancient Indian tribe known for fiercely resisting Alexander the Great during his campaign in the Punjab region.
-
E.
MIX
MIX is Donald Knuth’s hypothetical computer architecture used in *The Art of Computer Programming* to illustrate and analyze algorithms in a machine-level context.
- 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_69d381c9d3d48190a29ee491e1696a0e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d5278cbf9081909ef419b0144d5019 |
completed | April 7, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d95e955d908190a5b26faf2558d78c |
completed | April 10, 2026, 8:33 p.m. |
Created at: April 6, 2026, 12:41 p.m.