Triple

T11905244
Position Surface form Disambiguated ID Type / Status
Subject La Union E283255 entity
Predicate hasMunicipality P847 FINISHED
Object Caba
Caba is a coastal municipality in the province of La Union in the Philippines, known for its beaches and role as a local agricultural and fishing community.
 E953884 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: Caba | Statement: [La Union, hasMunicipality, Caba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Caba
Context triple: [La Union, hasMunicipality, Caba]
  • A. Ciudad Delgado
    Ciudad Delgado is an urban municipality in El Salvador that forms part of the metropolitan area of San Salvador.
  • B. Ciudad Darío
    Ciudad Darío is a Nicaraguan town best known as the birthplace of the influential modernist poet Rubén Darío.
  • C. Florencia
    Florencia is a street in Mexico City that intersects at the Glorieta del Ángel, a major roundabout surrounding the iconic Angel of Independence monument.
  • D. Florencia
    Florencia is a city in southern Colombia that serves as a key gateway between the Andean region and the Amazon rainforest.
  • E. Carabajal
    Carabajal is a Spanish-origin surname, often considered a variant of Carvajal, borne by various families across Spain and Latin America.
  • 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: Caba
Triple: [La Union, hasMunicipality, Caba]
Generated description
Caba is a coastal municipality in the province of La Union in the Philippines, known for its beaches and role as a local agricultural and fishing community.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Caba
Target entity description: Caba is a coastal municipality in the province of La Union in the Philippines, known for its beaches and role as a local agricultural and fishing community.
  • A. Ciudad Delgado
    Ciudad Delgado is an urban municipality in El Salvador that forms part of the metropolitan area of San Salvador.
  • B. Ciudad Darío
    Ciudad Darío is a Nicaraguan town best known as the birthplace of the influential modernist poet Rubén Darío.
  • C. Florencia
    Florencia is a city in southern Colombia that serves as a key gateway between the Andean region and the Amazon rainforest.
  • D. Florencia
    Florencia is a street in Mexico City that intersects at the Glorieta del Ángel, a major roundabout surrounding the iconic Angel of Independence monument.
  • E. Carabajal
    Carabajal is a Spanish-origin surname, often considered a variant of Carvajal, borne by various families across Spain and Latin America.
  • 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_69d6ab2c07e88190ba13b0d21fd6cf33 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8e525460c81909d855048d9c799bf completed April 10, 2026, 11:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69f418487f448190b6e24fb2c0409e3f completed May 1, 2026, 3:04 a.m.
NEDg Description generation batch_69f41f1d2da0819082f00cf61a6530b6 completed May 1, 2026, 3:33 a.m.
NED2 Entity disambiguation (via description) batch_69f4228a73708190a6d2db321e175921 completed May 1, 2026, 3:48 a.m.
Created at: April 8, 2026, 9:44 p.m.