Triple

T20266133
Position Surface form Disambiguated ID Type / Status
Subject Ilagan City E498972 entity
Predicate hasDemonym P191 FINISHED
Object Ilagueño
Ilagueño refers to a resident or native of Ilagan City in the province of Isabela, Philippines.
 E1420963 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: Ilagueño | Statement: [Ilagan City, hasDemonym, Ilagueño]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ilagueño
Context triple: [Ilagan City, hasDemonym, Ilagueño]
  • A. Migueleño
    Migueleño is an extinct Chumashan language once spoken by the Indigenous Chumash people in what is now Southern California.
  • B. Valverdeño
    Valverdeño is a Romance dialect of the Astur-Leonese language traditionally spoken in the village of Valverde in the province of León, Spain.
  • C. Haketia
    Haketia is a Judeo-Spanish dialect historically spoken by Sephardic Jews in northern Morocco and parts of Gibraltar, characterized by strong influences from Moroccan Arabic and Hebrew.
  • D. Balagteño
    A Balagteño is a resident or native of the municipality of Balagtas in the province of Bulacan, Philippines.
  • E. Balangeño
    A Balangeño is a resident or native of Balanga City in the province of Bataan, Philippines.
  • 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: Ilagueño
Triple: [Ilagan City, hasDemonym, Ilagueño]
Generated description
Ilagueño refers to a resident or native of Ilagan City in the province of Isabela, Philippines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ilagueño
Target entity description: Ilagueño refers to a resident or native of Ilagan City in the province of Isabela, Philippines.
  • A. Migueleño
    Migueleño is an extinct Chumashan language once spoken by the Indigenous Chumash people in what is now Southern California.
  • B. Valverdeño
    Valverdeño is a Romance dialect of the Astur-Leonese language traditionally spoken in the village of Valverde in the province of León, Spain.
  • C. Haketia
    Haketia is a Judeo-Spanish dialect historically spoken by Sephardic Jews in northern Morocco and parts of Gibraltar, characterized by strong influences from Moroccan Arabic and Hebrew.
  • D. Balagteño
    A Balagteño is a resident or native of the municipality of Balagtas in the province of Bulacan, Philippines.
  • E. Balangeño
    A Balangeño is a resident or native of Balanga City in the province of Bataan, Philippines.
  • 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_69da6275fa6c8190952924930adee150 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e674cf3d648190a0b0a7795045228a completed April 20, 2026, 6:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0855356a0c819088990d11d95863e0 completed May 16, 2026, 11:29 a.m.
NEDg Description generation batch_6a0855d7d87481908ff14d53a2ac94f7 completed May 16, 2026, 11:32 a.m.
NED2 Entity disambiguation (via description) batch_6a0856da3e748190866c328a6c61b3d8 completed May 16, 2026, 11:36 a.m.
Created at: April 11, 2026, 11:42 p.m.