Triple

T5218345
Position Surface form Disambiguated ID Type / Status
Subject Siargao Island E117807 entity
Predicate hasTown P847 FINISHED
Object Dapa
Dapa is a coastal town on Siargao Island in the Philippines that serves as the island’s main port and commercial hub.
 E502811 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: Dapa | Statement: [Siargao Island, hasTown, Dapa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dapa
Context triple: [Siargao Island, hasTown, Dapa]
  • A. Omapere
    Omapere is a small coastal settlement and holiday destination on the southern shore of Hokianga Harbour in New Zealand’s Northland Region.
  • B. Uda
    Uda is a city located in Nara Prefecture, Japan, known for its historical sites and natural scenery.
  • C. Bole
    Bole is a West Chadic language spoken primarily in northeastern Nigeria, known for its complex tonal system and role as a regional lingua franca among Bole-speaking communities.
  • D. Senaki
    Senaki is a town in western Georgia that serves as an important local administrative and transportation center in the Samegrelo region.
  • E. Kapashera
    Kapashera is a locality in the South West district of Delhi, India, known for its proximity to the Delhi-Gurugram border and its role as an administrative and commercial hub in the area.
  • 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: Dapa
Triple: [Siargao Island, hasTown, Dapa]
Generated description
Dapa is a coastal town on Siargao Island in the Philippines that serves as the island’s main port and commercial hub.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dapa
Target entity description: Dapa is a coastal town on Siargao Island in the Philippines that serves as the island’s main port and commercial hub.
  • A. Omapere
    Omapere is a small coastal settlement and holiday destination on the southern shore of Hokianga Harbour in New Zealand’s Northland Region.
  • B. Uda
    Uda is a city located in Nara Prefecture, Japan, known for its historical sites and natural scenery.
  • C. Bole
    Bole is a West Chadic language spoken primarily in northeastern Nigeria, known for its complex tonal system and role as a regional lingua franca among Bole-speaking communities.
  • D. Senaki
    Senaki is a town in western Georgia that serves as an important local administrative and transportation center in the Samegrelo region.
  • E. Kapashera
    Kapashera is a locality in the South West district of Delhi, India, known for its proximity to the Delhi-Gurugram border and its role as an administrative and commercial hub in the area.
  • 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_69bd4465e03081909bfcfd7113062590 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7a96d49c8190a58726a57edebdcc completed March 20, 2026, 4:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69beefebe3b081909f3fe50cf3d73653 completed March 21, 2026, 7:22 p.m.
NEDg Description generation batch_69bef0bfd76c8190ab48fed23b21c70b completed March 21, 2026, 7:25 p.m.
NED2 Entity disambiguation (via description) batch_69bef168c2088190bba7fce5219b0d1f completed March 21, 2026, 7:28 p.m.
Created at: March 20, 2026, 1:48 p.m.