Triple

T8878879
Position Surface form Disambiguated ID Type / Status
Subject Tepatitlán de Morelos E211358 entity
Predicate hasDemonym P191 FINISHED
Object Tepa
Tepa is the colloquial demonym for residents of Tepatitlán de Morelos, a city in the Mexican state of Jalisco.
 E764747 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: Tepa | Statement: [Tepatitlán de Morelos, hasDemonym, Tepa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tepa
Context triple: [Tepatitlán de Morelos, hasDemonym, Tepa]
  • A. Tosora
    Tosora is a historic town in South Sulawesi, Indonesia, known as the former political and cultural center of the Bugis Kingdom of Wajo.
  • B. Tepiman
    Tepiman is a subgroup of Uto-Aztecan languages spoken primarily in the southwestern United States and northern Mexico, including languages such as O'odham and Tepehuán.
  • C. Tappara
    Tappara is a prominent professional ice hockey club from Tampere, Finland, known as one of the most successful and historic teams in the Finnish Liiga.
  • D. Teneguía
    Teneguía is a volcanic cone on the island of La Palma in Spain’s Canary Islands, known for its dramatic 1971 eruption.
  • E. Towa
    Towa is a Native American Tanoan language spoken primarily by the Jemez Pueblo people of northern New Mexico.
  • 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: Tepa
Triple: [Tepatitlán de Morelos, hasDemonym, Tepa]
Generated description
Tepa is the colloquial demonym for residents of Tepatitlán de Morelos, a city in the Mexican state of Jalisco.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tepa
Target entity description: Tepa is the colloquial demonym for residents of Tepatitlán de Morelos, a city in the Mexican state of Jalisco.
  • A. Tosora
    Tosora is a historic town in South Sulawesi, Indonesia, known as the former political and cultural center of the Bugis Kingdom of Wajo.
  • B. Tepiman
    Tepiman is a subgroup of Uto-Aztecan languages spoken primarily in the southwestern United States and northern Mexico, including languages such as O'odham and Tepehuán.
  • C. Tappara
    Tappara is a prominent professional ice hockey club from Tampere, Finland, known as one of the most successful and historic teams in the Finnish Liiga.
  • D. Teneguía
    Teneguía is a volcanic cone on the island of La Palma in Spain’s Canary Islands, known for its dramatic 1971 eruption.
  • E. Towa
    Towa is a Native American Tanoan language spoken primarily by the Jemez Pueblo people of northern New Mexico.
  • 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_69ca838e78748190934d82db3104f855 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc614ad1908190a77808fcf7f3e531 completed April 1, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfabb87c3481908cf11f2e246f42eb completed April 3, 2026, 11:59 a.m.
NEDg Description generation batch_69cfacc9b53081909bd3505cff0a7722 completed April 3, 2026, 12:04 p.m.
NED2 Entity disambiguation (via description) batch_69cfad6fff348190b0491ba38d2e6ce5 completed April 3, 2026, 12:07 p.m.
Created at: March 30, 2026, 6:52 p.m.