Triple

T16122989
Position Surface form Disambiguated ID Type / Status
Subject Municipality of Mariveles E391191 entity
Predicate hasBarangay P29835 FINISHED
Object Biaan
Biaan is a barangay (village-level administrative division) within the coastal industrial municipality of Mariveles in Bataan, Philippines.
E1196869 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: Biaan | Statement: [Municipality of Mariveles, hasBarangay, Biaan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Biaan
Context triple: [Municipality of Mariveles, hasBarangay, Biaan]
  • A. Banna
    Banna is an Omotic language spoken by the Banna people of southwestern Ethiopia, closely related to other languages of the region.
  • B. Banna
    Banna is the Latin name of Birdoswald Roman Fort, a key military site along Hadrian’s Wall in Roman Britain.
  • C. Bariadi
    Bariadi is a town in northern Tanzania that serves as an important local administrative and commercial center.
  • D. Sarigan
    Sarigan is a small, uninhabited volcanic island in the Northern Mariana Islands known for its active stratovolcano and protected wildlife habitats.
  • E. Kibibi
    Kibibi is a lively and energetic host character in Disney's "Festival of the Lion King" stage show at Disney theme parks.
  • 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: Biaan
Triple: [Municipality of Mariveles, hasBarangay, Biaan]
Generated description
Biaan is a barangay (village-level administrative division) within the coastal industrial municipality of Mariveles in Bataan, Philippines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Biaan
Target entity description: Biaan is a barangay (village-level administrative division) within the coastal industrial municipality of Mariveles in Bataan, Philippines.
  • A. Banna
    Banna is an Omotic language spoken by the Banna people of southwestern Ethiopia, closely related to other languages of the region.
  • B. Banna
    Banna is the Latin name of Birdoswald Roman Fort, a key military site along Hadrian’s Wall in Roman Britain.
  • C. Bariadi
    Bariadi is a town in northern Tanzania that serves as an important local administrative and commercial center.
  • D. Sarigan
    Sarigan is a small, uninhabited volcanic island in the Northern Mariana Islands known for its active stratovolcano and protected wildlife habitats.
  • E. Kibibi
    Kibibi is a lively and energetic host character in Disney's "Festival of the Lion King" stage show at Disney theme parks.
  • 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_69d87f1bb0988190b490d273dbf3fd03 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e202027e78819091192aa62aedde13 completed April 17, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff2a7fe308190a9a2ef7815e788c6 completed May 10, 2026, 2:51 a.m.
NEDg Description generation batch_69fff3b25ba081909c396431ace865ac completed May 10, 2026, 2:55 a.m.
NED2 Entity disambiguation (via description) batch_69fff4a2964c8190bfa8c2fa0f934abe completed May 10, 2026, 2:59 a.m.
Created at: April 10, 2026, 5 a.m.