Triple

T23068704
Position Surface form Disambiguated ID Type / Status
Subject Sabtang Island E575128 entity
Predicate hasBarangay P29835 FINISHED
Object Sinakan
Sinakan is a coastal barangay on Sabtang Island in the province of Batanes, Philippines, known for its traditional Ivatan stone houses and scenic seascapes.
E1568457 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: Sinakan | Statement: [Sabtang Island, hasBarangay, Sinakan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sinakan
Context triple: [Sabtang Island, hasBarangay, Sinakan]
  • A. Sikinos
    Sikinos is a small, tranquil Greek island in the Cyclades known for its traditional villages, rugged landscapes, and unspoiled, low-key tourism.
  • B. Takabisha
    Takabisha is a record-breaking steel roller coaster in Japan renowned for its extremely steep drop and intense thrill elements.
  • C. Shakotan
    Shakotan is a coastal town on Japan’s Hokkaido island, renowned for its dramatic sea cliffs, clear blue waters, and rich marine scenery.
  • D. Sirokakara
    Sirokakara is a small settlement located on Choiseul Island in the Solomon Islands.
  • E. Sekani
    The Sekani are an Athabaskan-speaking Indigenous people of north-central British Columbia, Canada, traditionally known as semi-nomadic hunters and fishers of the interior plateau and subarctic regions.
  • 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: Sinakan
Triple: [Sabtang Island, hasBarangay, Sinakan]
Generated description
Sinakan is a coastal barangay on Sabtang Island in the province of Batanes, Philippines, known for its traditional Ivatan stone houses and scenic seascapes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sinakan
Target entity description: Sinakan is a coastal barangay on Sabtang Island in the province of Batanes, Philippines, known for its traditional Ivatan stone houses and scenic seascapes.
  • A. Sikinos
    Sikinos is a small, tranquil Greek island in the Cyclades known for its traditional villages, rugged landscapes, and unspoiled, low-key tourism.
  • B. Takabisha
    Takabisha is a record-breaking steel roller coaster in Japan renowned for its extremely steep drop and intense thrill elements.
  • C. Shakotan
    Shakotan is a coastal town on Japan’s Hokkaido island, renowned for its dramatic sea cliffs, clear blue waters, and rich marine scenery.
  • D. Sirokakara
    Sirokakara is a small settlement located on Choiseul Island in the Solomon Islands.
  • E. Sekani
    The Sekani are an Athabaskan-speaking Indigenous people of north-central British Columbia, Canada, traditionally known as semi-nomadic hunters and fishers of the interior plateau and subarctic regions.
  • 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_69e245bd6e4c8190bb8942245b68cad5 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f189a5aa4081909b3f0dc92877323d completed April 29, 2026, 4:31 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c0aef03e08190884fa1ba9a92baf7 completed May 19, 2026, 7:02 a.m.
NEDg Description generation batch_6a0c0e82010c8190b97e9f69ab6ba138 completed May 19, 2026, 7:17 a.m.
NED2 Entity disambiguation (via description) batch_6a0c0ef4f6848190b149aef73c970283 completed May 19, 2026, 7:19 a.m.
Created at: April 17, 2026, 3:55 p.m.