Triple

T11091291
Position Surface form Disambiguated ID Type / Status
Subject Davao Oriental E262260 entity
Predicate contains P35 FINISHED
Object Baganga
Baganga is a coastal municipality in the province of Davao Oriental in the Philippines, known for its beaches, waterfalls, and rich marine and forest resources.
 E904212 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: Baganga | Statement: [Davao Oriental, contains, Baganga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Baganga
Context triple: [Davao Oriental, contains, Baganga]
  • A. Abamakoro
    Abamakoro is a small village located on the island of Nonouti in the Republic of Kiribati in the central Pacific Ocean.
  • B. Baniva
    Baniva is an alternate name for the Baniwa language, an Arawakan language spoken by Indigenous communities in the northwest Amazon region of Brazil, Colombia, and Venezuela.
  • C. Bagamoyo
    Bagamoyo is a historic coastal town in present-day Tanzania that served as a major 19th-century East African trade and colonial center, including as an early administrative hub for German rule.
  • D. Bitonga
    Bitonga is a Bantu language spoken primarily by the Bitonga people in Mozambique’s Inhambane Province.
  • E. Bagana
    Bagana is an active stratovolcano on Bougainville Island in Papua New Guinea, known for its frequent eruptions and extensive lava flows.
  • 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: Baganga
Triple: [Davao Oriental, contains, Baganga]
Generated description
Baganga is a coastal municipality in the province of Davao Oriental in the Philippines, known for its beaches, waterfalls, and rich marine and forest resources.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Baganga
Target entity description: Baganga is a coastal municipality in the province of Davao Oriental in the Philippines, known for its beaches, waterfalls, and rich marine and forest resources.
  • A. Abamakoro
    Abamakoro is a small village located on the island of Nonouti in the Republic of Kiribati in the central Pacific Ocean.
  • B. Baniva
    Baniva is an alternate name for the Baniwa language, an Arawakan language spoken by Indigenous communities in the northwest Amazon region of Brazil, Colombia, and Venezuela.
  • C. Bagamoyo
    Bagamoyo is a historic coastal town in present-day Tanzania that served as a major 19th-century East African trade and colonial center, including as an early administrative hub for German rule.
  • D. Bitonga
    Bitonga is a Bantu language spoken primarily by the Bitonga people in Mozambique’s Inhambane Province.
  • E. Bagana
    Bagana is an active stratovolcano on Bougainville Island in Papua New Guinea, known for its frequent eruptions and extensive lava flows.
  • 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_69d6aa9a40d88190a373e2c7e48285db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d799ebae8c8190987b474adb7ede47 completed April 9, 2026, 12:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3e7c586808190a576803b7406a49e completed April 18, 2026, 8:21 p.m.
NEDg Description generation batch_69e3f2cafc008190a3504999297f1e4e completed April 18, 2026, 9:08 p.m.
NED2 Entity disambiguation (via description) batch_69e3f488819081908f9a4225279cde6b completed April 18, 2026, 9:15 p.m.
Created at: April 8, 2026, 9:27 p.m.