Triple

T17295729
Position Surface form Disambiguated ID Type / Status
Subject Tullahan River E419904 entity
Predicate flowsThrough P225 FINISHED
Object Valenzuela
Valenzuela is a highly urbanized city in northern Metro Manila, Philippines, known as an industrial and residential hub.
 E179693 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: Valenzuela | Statement: [Tullahan River, flowsThrough, Valenzuela]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Valenzuela
Context triple: [Tullahan River, flowsThrough, Valenzuela]
  • A. Valenzuela
    Valenzuela is a Spanish-language surname borne by various notable individuals, including athletes, politicians, and artists, and is also the name of several places in the Spanish-speaking world.
  • B. San Cristobal
    San Cristobal is the former name of Makira, a large island in the Solomon Islands known for its rich biodiversity and traditional Melanesian culture.
  • C. Barinas, Venezuela
    Barinas, Venezuela is a city in western Venezuela that serves as the capital of Barinas state and is known as an agricultural center on the Llanos plains.
  • D. Ciudad Delgado
    Ciudad Delgado is an urban municipality in El Salvador that forms part of the metropolitan area of San Salvador.
  • E. La Vega
    La Vega is a town and municipality in Colombia known for its lush mountainous landscapes and proximity to Bogotá.
  • 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: Valenzuela
Triple: [Tullahan River, flowsThrough, Valenzuela]
Generated description
Valenzuela is a highly urbanized city in northern Metro Manila, Philippines, known as an industrial and residential hub.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Valenzuela
Target entity description: Valenzuela is a highly urbanized city in northern Metro Manila, Philippines, known as an industrial and residential hub.
  • A. Valenzuela chosen
    Valenzuela is a Spanish-language surname borne by various notable individuals, including athletes, politicians, and artists, and is also the name of several places in the Spanish-speaking world.
  • B. San Cristobal
    San Cristobal is the former name of Makira, a large island in the Solomon Islands known for its rich biodiversity and traditional Melanesian culture.
  • C. Barinas, Venezuela
    Barinas, Venezuela is a city in western Venezuela that serves as the capital of Barinas state and is known as an agricultural center on the Llanos plains.
  • D. Ciudad Delgado
    Ciudad Delgado is an urban municipality in El Salvador that forms part of the metropolitan area of San Salvador.
  • E. La Vega
    La Vega is a town and municipality in Colombia known for its lush mountainous landscapes and proximity to Bogotá.
  • F. None of above.

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_69d886db32608190a61e18862c5a8af6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e437875b208190bcf0df2ded546257 completed April 19, 2026, 2:01 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0180d881ec81908e794143d355effe completed May 11, 2026, 7:10 a.m.
NEDg Description generation batch_6a0185288b0c8190aa2122b40f2f5722 completed May 11, 2026, 7:28 a.m.
NED2 Entity disambiguation (via description) batch_6a0185bd6e0c8190be703e260c499b5e completed May 11, 2026, 7:31 a.m.
Created at: April 10, 2026, 5:40 a.m.