Triple

T3920746
Position Surface form Disambiguated ID Type / Status
Subject Honduran lempira E88950 entity
Predicate namedAfter P63 FINISHED
Object Lempira
Lempira was a 16th-century Lenca chieftain and national hero of Honduras who led indigenous resistance against Spanish conquest.
E400580 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: Lempira | Statement: [Honduran lempira, namedAfter, Lempira]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lempira
Context triple: [Honduran lempira, namedAfter, Lempira]
  • A. Tingo María
    Tingo María is a city in central Peru known as the gateway to the Amazon and for its surrounding rainforest landscapes and national park.
  • B. Burque
    Burque is a colloquial nickname commonly used to refer to the city of Albuquerque, New Mexico.
  • C. Simón
    Simón is the given name of Simón Bolívar, the famed Latin American military and political leader who played a key role in the independence of several South American countries from Spanish rule.
  • D. Simón
    Simón is the young adopted boy whose mysterious behavior and disappearance drive the central horror and emotional tension in the Spanish film "The Orphanage."
  • E. Sandino
    Sandino is a small Cuban town in the western Pinar del Río Province, known as a local municipal center near the island’s westernmost point.
  • 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: Lempira
Triple: [Honduran lempira, namedAfter, Lempira]
Generated description
Lempira was a 16th-century Lenca chieftain and national hero of Honduras who led indigenous resistance against Spanish conquest.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lempira
Target entity description: Lempira was a 16th-century Lenca chieftain and national hero of Honduras who led indigenous resistance against Spanish conquest.
  • A. Tingo María
    Tingo María is a city in central Peru known as the gateway to the Amazon and for its surrounding rainforest landscapes and national park.
  • B. Burque
    Burque is a colloquial nickname commonly used to refer to the city of Albuquerque, New Mexico.
  • C. Simón
    Simón is the given name of Simón Bolívar, the famed Latin American military and political leader who played a key role in the independence of several South American countries from Spanish rule.
  • D. Simón
    Simón is the young adopted boy whose mysterious behavior and disappearance drive the central horror and emotional tension in the Spanish film "The Orphanage."
  • E. Sandino
    Sandino is a small Cuban town in the western Pinar del Río Province, known as a local municipal center near the island’s westernmost point.
  • 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_69aed955229881909e85e73ffab1d343 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeed5c28b08190b32ce81e5bd8f586 completed March 9, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5286c807481908a67471da777b264 completed March 14, 2026, 9:20 a.m.
NEDg Description generation batch_69b5298d7be08190adb4a23edb716ce6 completed March 14, 2026, 9:25 a.m.
NED2 Entity disambiguation (via description) batch_69b52de8756c81909d03188bdc29ee88 completed March 14, 2026, 9:44 a.m.
Created at: March 9, 2026, 3:22 p.m.