Triple

T6935589
Position Surface form Disambiguated ID Type / Status
Subject western Maya lowlands E160545 entity
Predicate hasMajorSite P5003 FINISHED
Object Tonina
Tonina is an ancient Maya archaeological site in Chiapas, Mexico, known for its towering acropolis, intricate relief sculptures, and significant role in Classic-period Maya politics.
 E629249 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: Tonina | Statement: [western Maya lowlands, hasMajorSite, Tonina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tonina
Context triple: [western Maya lowlands, hasMajorSite, Tonina]
  • A. Lorena
    Lorena is a city in the state of São Paulo, Brazil, known for hosting a campus of the University of São Paulo.
  • B. Tonia
    Tonia is a feminine given name, typically used as a short form of Antonia.
  • C. Marianna
    Marianna is a small city in Florida’s Panhandle known for its historic architecture, including the Russ House, and its proximity to natural attractions like caves and springs.
  • D. Corina
    Corina is a feminine given name used in various cultures, often considered a variant of names like Corine or Corinna.
  • E. Gianetta
    Gianetta is one of the lively, romantic young Venetian girls in Gilbert and Sullivan’s comic opera "The Gondoliers," who becomes entangled in the opera’s mistaken-identity royal plot.
  • 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: Tonina
Triple: [western Maya lowlands, hasMajorSite, Tonina]
Generated description
Tonina is an ancient Maya archaeological site in Chiapas, Mexico, known for its towering acropolis, intricate relief sculptures, and significant role in Classic-period Maya politics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tonina
Target entity description: Tonina is an ancient Maya archaeological site in Chiapas, Mexico, known for its towering acropolis, intricate relief sculptures, and significant role in Classic-period Maya politics.
  • A. Lorena
    Lorena is a city in the state of São Paulo, Brazil, known for hosting a campus of the University of São Paulo.
  • B. Tonia
    Tonia is a feminine given name, typically used as a short form of Antonia.
  • C. Marianna
    Marianna is a small city in Florida’s Panhandle known for its historic architecture, including the Russ House, and its proximity to natural attractions like caves and springs.
  • D. Corina
    Corina is a feminine given name used in various cultures, often considered a variant of names like Corine or Corinna.
  • E. Gianetta
    Gianetta is one of the lively, romantic young Venetian girls in Gilbert and Sullivan’s comic opera "The Gondoliers," who becomes entangled in the opera’s mistaken-identity royal plot.
  • 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_69c6884e15208190b9e91487eaafcf85 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6da429b5c8190a59901e0005a5415 completed March 27, 2026, 7:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c75151d5e48190b2389ae9049d1454 completed March 28, 2026, 3:56 a.m.
NEDg Description generation batch_69c752ab5f648190b7899ae2ebfc5a7d completed March 28, 2026, 4:01 a.m.
NED2 Entity disambiguation (via description) batch_69c753954df88190a22fe591d915d060 completed March 28, 2026, 4:05 a.m.
Created at: March 27, 2026, 2:27 p.m.