Triple

T11292052
Position Surface form Disambiguated ID Type / Status
Subject Lake Zirahuén E267347 entity
Predicate hasNearbySettlement P4647 FINISHED
Object Zirahuén (town)
Zirahuén is a small lakeside town in Michoacán, Mexico, known for its tranquil setting, traditional Purépecha culture, and scenic views of Lake Zirahuén.
 E915677 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: Zirahuén (town) | Statement: [Lake Zirahuén, hasNearbySettlement, Zirahuén (town)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zirahuén (town)
Context triple: [Lake Zirahuén, hasNearbySettlement, Zirahuén (town)]
  • A. Huixtán
    Huixtán is a town in the Mexican state of Chiapas known as an important center of the indigenous Tzotzil community.
  • B. Zelarayán
    Zelarayán is a Spanish-language surname most notably borne by Argentine-born professional footballer Lucas Zelarayán.
  • C. Zuera
    Zuera is a municipality in northeastern Spain located within the autonomous community of Aragon.
  • D. Yaxhá
    Yaxhá is an ancient Maya archaeological site in northern Guatemala known for its large ceremonial complexes and scenic setting beside Lake Yaxhá.
  • E. Vallecillo
    Vallecillo is a small municipality located in the Francisco Morazán Department of central Honduras.
  • 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: Zirahuén (town)
Triple: [Lake Zirahuén, hasNearbySettlement, Zirahuén (town)]
Generated description
Zirahuén is a small lakeside town in Michoacán, Mexico, known for its tranquil setting, traditional Purépecha culture, and scenic views of Lake Zirahuén.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zirahuén (town)
Target entity description: Zirahuén is a small lakeside town in Michoacán, Mexico, known for its tranquil setting, traditional Purépecha culture, and scenic views of Lake Zirahuén.
  • A. Huixtán
    Huixtán is a town in the Mexican state of Chiapas known as an important center of the indigenous Tzotzil community.
  • B. Zelarayán
    Zelarayán is a Spanish-language surname most notably borne by Argentine-born professional footballer Lucas Zelarayán.
  • C. Zuera
    Zuera is a municipality in northeastern Spain located within the autonomous community of Aragon.
  • D. Yaxhá
    Yaxhá is an ancient Maya archaeological site in northern Guatemala known for its large ceremonial complexes and scenic setting beside Lake Yaxhá.
  • E. Vallecillo
    Vallecillo is a small municipality located in the Francisco Morazán Department of central Honduras.
  • 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_69d6aac993a08190a6f36445ebaf9a43 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e989fdac81909a4a75f1f68b55c6 completed April 9, 2026, 6:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4f4a57d6881909a1e65744111ad8b completed April 19, 2026, 3:28 p.m.
NEDg Description generation batch_69e4f95cbc7c819082e3d7c3c3266708 completed April 19, 2026, 3:48 p.m.
NED2 Entity disambiguation (via description) batch_69e4ff73f3348190abfd28f716c61105 completed April 19, 2026, 4:14 p.m.
Created at: April 8, 2026, 9:32 p.m.