Triple

T2100489
Position Surface form Disambiguated ID Type / Status
Subject Eastern Mexico E37080 entity
Predicate hasMajorCity P316 FINISHED
Object Villahermosa
Villahermosa is the capital and largest city of the Mexican state of Tabasco, known as a regional hub for oil, commerce, and culture in southeastern Mexico.
 E233929 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: Villahermosa | Statement: [Eastern Mexico, hasMajorCity, Villahermosa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Villahermosa
Context triple: [Eastern Mexico, hasMajorCity, Villahermosa]
  • A. Xalapa
    Xalapa is a city in eastern Mexico known as the capital and cultural center of the state of Veracruz.
  • B. Matamoros
    Matamoros is a Mexican border city in the state of Tamaulipas, located directly across the Rio Grande from Brownsville, Texas, and known as an important hub for trade and manufacturing.
  • C. Culiacán
    Culiacán is the largest city and main economic and cultural center of the Mexican state of Sinaloa.
  • D. Tuxpan
    Tuxpan is a port city in the Mexican state of Veracruz, known for its Gulf Coast location and historical role as a departure point in the Cuban Revolution.
  • E. Tuxpan
    Tuxpan is a town and municipality in the Mexican state of Nayarit, known for its agricultural economy and traditional cultural festivals.
  • 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: Villahermosa
Triple: [Eastern Mexico, hasMajorCity, Villahermosa]
Generated description
Villahermosa is the capital and largest city of the Mexican state of Tabasco, known as a regional hub for oil, commerce, and culture in southeastern Mexico.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Villahermosa
Target entity description: Villahermosa is the capital and largest city of the Mexican state of Tabasco, known as a regional hub for oil, commerce, and culture in southeastern Mexico.
  • A. Xalapa
    Xalapa is a city in eastern Mexico known as the capital and cultural center of the state of Veracruz.
  • B. Matamoros
    Matamoros is a Mexican border city in the state of Tamaulipas, located directly across the Rio Grande from Brownsville, Texas, and known as an important hub for trade and manufacturing.
  • C. Culiacán
    Culiacán is the largest city and main economic and cultural center of the Mexican state of Sinaloa.
  • D. Tuxpan
    Tuxpan is a port city in the Mexican state of Veracruz, known for its Gulf Coast location and historical role as a departure point in the Cuban Revolution.
  • E. Tuxpan
    Tuxpan is a town and municipality in the Mexican state of Nayarit, known for its agricultural economy and traditional cultural festivals.
  • 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_69a8861828948190924aa30c08806b3a completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abbabb512c819087b1d5ec8ef11e63 completed March 7, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae3065f3588190bc483e07dda8cf71 completed March 9, 2026, 2:28 a.m.
NEDg Description generation batch_69ae3106488c8190a044d843a10f531a completed March 9, 2026, 2:31 a.m.
NED2 Entity disambiguation (via description) batch_69ae31889bc0819092810ade1961d10e completed March 9, 2026, 2:33 a.m.
Created at: March 4, 2026, 7:43 p.m.