Triple

T17823791
Position Surface form Disambiguated ID Type / Status
Subject Magat River E445058 entity
Predicate watercourseThrough P165 FINISHED
Object Ramon, Isabela
Ramon is a landlocked agricultural municipality in the province of Isabela, Philippines, known for its proximity to the Magat River and the Magat Dam hydroelectric and irrigation complex.
E1289328 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: Ramon, Isabela | Statement: [Magat River, watercourseThrough, Ramon, Isabela]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ramon, Isabela
Context triple: [Magat River, watercourseThrough, Ramon, Isabela]
  • A. José
    José is the given first name of Major League Baseball manager and former player Alex Cora.
  • B. José
    José is a common Spanish and Portuguese male given name, equivalent to Joseph in English.
  • C. José
    José is the given first name of former Major League Baseball player and coach Joey Cora.
  • D. Enrique
    Enrique is a noble and idealistic prince who joins the protagonist’s crew as a playable party member in the role-playing game Skies of Arcadia.
  • E. Enrique
    Enrique is a Spanish given name equivalent to the English name Henry.
  • 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: Ramon, Isabela
Triple: [Magat River, watercourseThrough, Ramon, Isabela]
Generated description
Ramon is a landlocked agricultural municipality in the province of Isabela, Philippines, known for its proximity to the Magat River and the Magat Dam hydroelectric and irrigation complex.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ramon, Isabela
Target entity description: Ramon is a landlocked agricultural municipality in the province of Isabela, Philippines, known for its proximity to the Magat River and the Magat Dam hydroelectric and irrigation complex.
  • A. José
    José is the given first name of Major League Baseball manager and former player Alex Cora.
  • B. José
    José is the given first name of former Major League Baseball player and coach Joey Cora.
  • C. José
    José is a common Spanish and Portuguese male given name, equivalent to Joseph in English.
  • D. Enrique
    Enrique is a Spanish given name equivalent to the English name Henry.
  • E. Enrique
    Enrique is a noble and idealistic prince who joins the protagonist’s crew as a playable party member in the role-playing game Skies of Arcadia.
  • 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_69d8b9f0de78819099395b14db75a8a6 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4891282a081908d384d45bf444baf completed April 19, 2026, 7:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02ff69f02c81908a7b6b8b564cceec completed May 12, 2026, 10:22 a.m.
NEDg Description generation batch_6a03000abe908190a4f4835f348aa544 completed May 12, 2026, 10:25 a.m.
NED2 Entity disambiguation (via description) batch_6a0300e885e481909c76dfbac2fd1009 completed May 12, 2026, 10:28 a.m.
Created at: April 10, 2026, 10:15 a.m.