Triple

T2944138
Position Surface form Disambiguated ID Type / Status
Subject Huastec E79459 entity
Predicate autonym P1435 FINISHED
Object Teenek
Teenek is the endonym used by the Huastec people for their own Mayan language spoken primarily in northeastern Mexico.
E311805 NE FINISHED

How this triple was built (4 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, autonym, Teenek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Teenek
Context triple: [Huastec, autonym, Teenek]
  • A. Teke
    Teke is a Bantu language spoken primarily in the Republic of the Congo and neighboring Central African regions by the Teke people.
  • B. Teke
    Teke are a prominent Turkmen tribal group historically known for their influence in Central Asia and their famed Akhal-Teke horses.
  • C. Tek
    Tek is a brand associated with Tektronix, known for electronic test and measurement equipment such as oscilloscopes and signal analyzers.
  • D. Tehkummah
    Tehkummah is a small rural township and municipality located on Manitoulin Island in Ontario, Canada.
  • E. Tevaram
    Tevaram is a revered collection of early medieval Tamil devotional hymns dedicated to Lord Shiva, foundational to Tamil Shaivite bhakti tradition and liturgy.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Teenek
Triple: [Huastec, autonym, Teenek]
Generated description
Teenek is the endonym used by the Huastec people for their own Mayan language spoken primarily in northeastern Mexico.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Teenek
Target entity description: Teenek is the endonym used by the Huastec people for their own Mayan language spoken primarily in northeastern Mexico.
  • A. Teke
    Teke is a Bantu language spoken primarily in the Republic of the Congo and neighboring Central African regions by the Teke people.
  • B. Teke
    Teke are a prominent Turkmen tribal group historically known for their influence in Central Asia and their famed Akhal-Teke horses.
  • C. Tek
    Tek is a brand associated with Tektronix, known for electronic test and measurement equipment such as oscilloscopes and signal analyzers.
  • D. Tehkummah
    Tehkummah is a small rural township and municipality located on Manitoulin Island in Ontario, Canada.
  • E. Tevaram
    Tevaram is a revered collection of early medieval Tamil devotional hymns dedicated to Lord Shiva, foundational to Tamil Shaivite bhakti tradition and liturgy.
  • F. None of above. chosen

Provenance (5 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_69ad8b1089588190b74d9e2505e45762 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad98b0db5081908e84def20a5e4a2d completed March 8, 2026, 3:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69b0868d754c8190b075ca0fd902814a completed March 10, 2026, 9:01 p.m.
NEDg Description generation batch_69b0dd08d390819089c241122db5deed completed March 11, 2026, 3:10 a.m.
NED2 Entity disambiguation (via description) batch_69b0dd9857a8819092785308e67ba66f completed March 11, 2026, 3:12 a.m.
Created at: March 8, 2026, 2:56 p.m.