Triple

T21348409
Position Surface form Disambiguated ID Type / Status
Subject Olango Island E526404 entity
Predicate hasBarangay P29835 FINISHED
Object Tingo
Tingo is a coastal barangay on Olango Island in the Philippines, known for its fishing community and proximity to marine ecotourism sites.
 E1478796 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: Tingo | Statement: [Olango Island, hasBarangay, Tingo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tingo
Context triple: [Olango Island, hasBarangay, Tingo]
  • A. Tatengue
    Tatengue is the popular nickname of Club Atlético Unión, a traditional football club from Santa Fe, Argentina.
  • B. Menongue
    Menongue is a city in southeastern Angola that serves as the administrative and economic center of Cuando Cubango Province.
  • C. Tuktukan
    Tuktukan is a barangay (village-level administrative division) in the city of Taguig in Metro Manila, Philippines.
  • D. Ticha
    Ticha is a retired Portuguese basketball point guard best known for her standout WNBA career, particularly with the Sacramento Monarchs.
  • E. Yanga
    Yanga is a rural locality in New South Wales, Australia, known for its historic pastoral station and inclusion within Yanga National Park.
  • 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: Tingo
Triple: [Olango Island, hasBarangay, Tingo]
Generated description
Tingo is a coastal barangay on Olango Island in the Philippines, known for its fishing community and proximity to marine ecotourism sites.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tingo
Target entity description: Tingo is a coastal barangay on Olango Island in the Philippines, known for its fishing community and proximity to marine ecotourism sites.
  • A. Tatengue
    Tatengue is the popular nickname of Club Atlético Unión, a traditional football club from Santa Fe, Argentina.
  • B. Menongue
    Menongue is a city in southeastern Angola that serves as the administrative and economic center of Cuando Cubango Province.
  • C. Tuktukan
    Tuktukan is a barangay (village-level administrative division) in the city of Taguig in Metro Manila, Philippines.
  • D. Ticha
    Ticha is a retired Portuguese basketball point guard best known for her standout WNBA career, particularly with the Sacramento Monarchs.
  • E. Yanga
    Yanga is a rural locality in New South Wales, Australia, known for its historic pastoral station and inclusion within Yanga National Park.
  • 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_69e0b51cd5cc81909ac1187971e8a8ad completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69ee5baab4e081908916a289c607cf3a completed April 26, 2026, 6:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a09a5cc48508190a40802e681430eae completed May 17, 2026, 11:26 a.m.
NEDg Description generation batch_6a09a778a998819092eeb83ec1f5aed1 completed May 17, 2026, 11:33 a.m.
NED2 Entity disambiguation (via description) batch_6a09a7bcd5188190be3009fb3bd00af6 completed May 17, 2026, 11:34 a.m.
Created at: April 16, 2026, 5:01 p.m.