Triple

T18003117
Position Surface form Disambiguated ID Type / Status
Subject Isabela Province E430675 entity
Predicate hasMunicipality P847 FINISHED
Object Ramon
Ramon is a municipality in the Philippine province of Isabela, known primarily as an agricultural area supported by irrigation from the nearby Magat Dam.
 E1318195 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 | Statement: [Isabela Province, hasMunicipality, Ramon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ramon
Context triple: [Isabela Province, hasMunicipality, Ramon]
  • A. Ramon
    Ramon is the surname of Ilan Ramon, the first Israeli astronaut and a payload specialist on the Space Shuttle Columbia.
  • B. Ramon
    Ramon is a fictional evolved form or transformation of the character Raginmund, likely appearing in a fantasy or role-playing game setting.
  • C. Ramón
    Ramón is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
  • D. Rogelio
    Rogelio is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
  • E. Alfrédo
    Alfrédo is a given name, likely a variant or cognate of "Alfred" or "Alfredo," used as a personal male first name in various languages.
  • 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
Triple: [Isabela Province, hasMunicipality, Ramon]
Generated description
Ramon is a municipality in the Philippine province of Isabela, known primarily as an agricultural area supported by irrigation from the nearby Magat Dam.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ramon
Target entity description: Ramon is a municipality in the Philippine province of Isabela, known primarily as an agricultural area supported by irrigation from the nearby Magat Dam.
  • A. Ramon
    Ramon is the surname of Ilan Ramon, the first Israeli astronaut and a payload specialist on the Space Shuttle Columbia.
  • B. Ramon
    Ramon is a fictional evolved form or transformation of the character Raginmund, likely appearing in a fantasy or role-playing game setting.
  • C. Ramón
    Ramón is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
  • D. Rogelio
    Rogelio is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
  • E. Alfrédo
    Alfrédo is a given name, likely a variant or cognate of "Alfred" or "Alfredo," used as a personal male first name in various languages.
  • 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_69d8b904530081908bf341d842464856 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4b3ea60608190b977644e946407b7 completed April 19, 2026, 10:52 a.m.
NED1 Entity disambiguation (via context triple) batch_6a03c4ab65c88190983079b5f5c96b27 completed May 13, 2026, 12:24 a.m.
NEDg Description generation batch_6a03c570ed348190a7e19eed29b06909 completed May 13, 2026, 12:27 a.m.
NED2 Entity disambiguation (via description) batch_6a03c5ec00a88190a93c3be5dd3bc6ee completed May 13, 2026, 12:29 a.m.
Created at: April 10, 2026, 10:23 a.m.