Triple
T13124454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wasteko |
E311808
|
entity |
| Predicate | hasNameVariant |
P457
|
FINISHED |
| Object | Teenek |
E311805
|
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: Teenek | Statement: [Wasteko, hasNameVariant, Teenek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Teenek Context triple: [Wasteko, hasNameVariant, Teenek]
-
A.
Teenek
chosen
Teenek is the endonym used by the Huastec people for their own Mayan language spoken primarily in northeastern Mexico.
-
B.
Teke
Teke is a Bantu language spoken primarily in the Republic of the Congo and neighboring Central African regions by the Teke people.
-
C.
Teke
Teke are a prominent Turkmen tribal group historically known for their influence in Central Asia and their famed Akhal-Teke horses.
-
D.
Tek
Tek is a brand associated with Tektronix, known for electronic test and measurement equipment such as oscilloscopes and signal analyzers.
-
E.
Teenek people
The Teenek people are an indigenous Mesoamerican group, also known as Huastec or Wastek, with their own Mayan language and distinct cultural traditions centered in the Huasteca region of Mexico.
- 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_69d806a9fe888190b081e2d9ea665d6c |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9819946808190b41335fb1054accd |
completed | April 10, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f5d59c5881909072afd0bc273f5f |
completed | May 3, 2026, 7:14 a.m. |
Created at: April 9, 2026, 9:07 p.m.