Triple

T16576022
Position Surface form Disambiguated ID Type / Status
Subject Western Honduras E402710 entity
Predicate hasCity P316 FINISHED
Object La Esperanza
La Esperanza is a highland city in western Honduras known for its cool climate, indigenous Lenca culture, and surrounding pine forests.
 E1221943 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: La Esperanza | Statement: [Western Honduras, hasCity, La Esperanza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: La Esperanza
Context triple: [Western Honduras, hasCity, La Esperanza]
  • A. La Esperanza
    La Esperanza is a municipality for which the town of El Rosario serves as the administrative capital.
  • B. Esperanza
    Esperanza is a municipality located in the province of Sultan Kudarat in the Philippines, known for its agricultural economy and diverse cultural communities.
  • C. Esperanza
    "Esperanza" is a romantic Latin pop ballad best known as the signature hit from the album *Cosas del Amor*.
  • D. Esperanza
    Esperanza is a small coastal village on the island of Vieques in Puerto Rico, known for its seaside promenade, beaches, and access to the nearby bioluminescent bay.
  • E. Esperanza
    Esperanza is a coastal municipality in the Philippine province of Masbate known for its fishing communities and rural island-town character.
  • 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: La Esperanza
Triple: [Western Honduras, hasCity, La Esperanza]
Generated description
La Esperanza is a highland city in western Honduras known for its cool climate, indigenous Lenca culture, and surrounding pine forests.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: La Esperanza
Target entity description: La Esperanza is a highland city in western Honduras known for its cool climate, indigenous Lenca culture, and surrounding pine forests.
  • A. La Esperanza
    La Esperanza is a municipality for which the town of El Rosario serves as the administrative capital.
  • B. Esperanza
    Esperanza is a municipality located in the province of Sultan Kudarat in the Philippines, known for its agricultural economy and diverse cultural communities.
  • C. Esperanza
    "Esperanza" is a romantic Latin pop ballad best known as the signature hit from the album *Cosas del Amor*.
  • D. Esperanza
    Esperanza is a small coastal village on the island of Vieques in Puerto Rico, known for its seaside promenade, beaches, and access to the nearby bioluminescent bay.
  • E. Esperanza
    Esperanza is a coastal municipality in the Philippine province of Masbate known for its fishing communities and rural island-town character.
  • 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_69d88387363c8190a97a0c942130de97 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3595cb65481909be62a52deff3d44 completed April 18, 2026, 10:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a006eecbb6c81908abc5659333a4879 completed May 10, 2026, 11:41 a.m.
NEDg Description generation batch_6a006fa02870819083c1b25eb4c8ffad completed May 10, 2026, 11:44 a.m.
NED2 Entity disambiguation (via description) batch_6a0070aee0248190b3463b98a739d1ae completed May 10, 2026, 11:49 a.m.
Created at: April 10, 2026, 5:16 a.m.