Triple

T2944137
Position Surface form Disambiguated ID Type / Status
Subject Huastec E79459 entity
Predicate autonym P1435 FINISHED
Object Wastek
Wastek is the endonym for the Huastec people and their Mayan language spoken in northeastern Mexico.
 E311804 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: Wastek | Statement: [Huastec, autonym, Wastek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wastek
Context triple: [Huastec, autonym, Wastek]
  • A. Porąbka
    Porąbka is a village in southern Poland, known as the birthplace of communist-era leader Edward Gierek.
  • B. Wilkasy
    Wilkasy is a village and popular lakeside tourist resort in northeastern Poland’s Warmian-Masurian Voivodeship, known for its marinas and access to the Masurian Lake District.
  • C. Witos
    Witos is a Polish surname most notably borne by Wincenty Witos, a prominent early 20th-century Polish politician and three-time Prime Minister.
  • D. Wanze
    Wanze is a municipality in eastern Belgium situated along the Meuse River in the Walloon Region.
  • E. Bisztynek
    Bisztynek is a small historic town in northern Poland, located in the Warmian-Masurian Voivodeship and known for its traditional architecture and regional cultural heritage.
  • 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: Wastek
Triple: [Huastec, autonym, Wastek]
Generated description
Wastek is the endonym for the Huastec people and their Mayan language spoken in northeastern Mexico.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wastek
Target entity description: Wastek is the endonym for the Huastec people and their Mayan language spoken in northeastern Mexico.
  • A. Porąbka
    Porąbka is a village in southern Poland, known as the birthplace of communist-era leader Edward Gierek.
  • B. Wilkasy
    Wilkasy is a village and popular lakeside tourist resort in northeastern Poland’s Warmian-Masurian Voivodeship, known for its marinas and access to the Masurian Lake District.
  • C. Witos
    Witos is a Polish surname most notably borne by Wincenty Witos, a prominent early 20th-century Polish politician and three-time Prime Minister.
  • D. Wanze
    Wanze is a municipality in eastern Belgium situated along the Meuse River in the Walloon Region.
  • E. Bisztynek
    Bisztynek is a small historic town in northern Poland, located in the Warmian-Masurian Voivodeship and known for its traditional architecture and regional cultural heritage.
  • 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.