Triple

T11291497
Position Surface form Disambiguated ID Type / Status
Subject Masbate E267334 entity
Predicate hasMunicipality P847 FINISHED
Object Monreal
Monreal is a coastal municipality located on Ticao Island in the province of Masbate in the Philippines.
 E915654 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: Monreal | Statement: [Masbate, hasMunicipality, Monreal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Monreal
Context triple: [Masbate, hasMunicipality, Monreal]
  • A. Centelles
    Centelles is a municipality in the comarca of Osona in Catalonia, Spain, known for its historic center and traditional festivals.
  • B. Davila
    Davila is an Italian surname most notably associated with the 17th-century historian Enrico Caterino Davila.
  • C. Montúfar
    Montúfar is a Spanish-origin surname historically associated with notable figures in Latin American colonial and independence-era history.
  • D. Carbajal
    Carbajal is a Spanish surname historically associated with figures such as Garcí Manuel de Carbajal, a notable colonial-era official.
  • E. Rebollo
    Rebollo is a Spanish surname most notably associated with Antonio Rebollo, the Paralympic archer who lit the Olympic cauldron at the 1992 Barcelona Games.
  • 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: Monreal
Triple: [Masbate, hasMunicipality, Monreal]
Generated description
Monreal is a coastal municipality located on Ticao Island in the province of Masbate in the Philippines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Monreal
Target entity description: Monreal is a coastal municipality located on Ticao Island in the province of Masbate in the Philippines.
  • A. Centelles
    Centelles is a municipality in the comarca of Osona in Catalonia, Spain, known for its historic center and traditional festivals.
  • B. Davila
    Davila is an Italian surname most notably associated with the 17th-century historian Enrico Caterino Davila.
  • C. Montúfar
    Montúfar is a Spanish-origin surname historically associated with notable figures in Latin American colonial and independence-era history.
  • D. Carbajal
    Carbajal is a Spanish surname historically associated with figures such as Garcí Manuel de Carbajal, a notable colonial-era official.
  • E. Rebollo
    Rebollo is a Spanish surname most notably associated with Antonio Rebollo, the Paralympic archer who lit the Olympic cauldron at the 1992 Barcelona Games.
  • 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_69d6aac993a08190a6f36445ebaf9a43 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e989fdac81909a4a75f1f68b55c6 completed April 9, 2026, 6:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4f49badc88190a3195e919900f0c3 completed April 19, 2026, 3:28 p.m.
NEDg Description generation batch_69e4f95cbc7c819082e3d7c3c3266708 completed April 19, 2026, 3:48 p.m.
NED2 Entity disambiguation (via description) batch_69e4ff73f3348190abfd28f716c61105 completed April 19, 2026, 4:14 p.m.
Created at: April 8, 2026, 9:32 p.m.