Triple

T10370574
Position Surface form Disambiguated ID Type / Status
Subject Huastec language E244371 entity
Predicate nativeName P15 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: [Huastec language, nativeName, Teenek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Teenek
Context triple: [Huastec language, nativeName, 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 are a prominent Turkmen tribal group historically known for their influence in Central Asia and their famed Akhal-Teke horses.
  • C. Teke
    Teke is a Bantu language spoken primarily in the Republic of the Congo and neighboring Central African regions by the Teke people.
  • 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_69d381b3e328819094b23b8edcd29b5a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9737cfc81909d6302bd4177d186 completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7955bb0ec8190b4d1da4af981436a completed April 9, 2026, 12:02 p.m.
Created at: April 6, 2026, 12:01 p.m.