Triple

T7219641
Position Surface form Disambiguated ID Type / Status
Subject Erromango E150222 entity
Predicate largestSettlement P163 FINISHED
Object Upongkor
Upongkor is the principal settlement and main population center on the island of Erromango in Vanuatu.
 E649680 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: Upongkor | Statement: [Erromango, largestSettlement, Upongkor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Upongkor
Context triple: [Erromango, largestSettlement, Upongkor]
  • A. Korekore
    Korekore is a major dialect of the Shona language spoken primarily in northern Zimbabwe.
  • B. Ōpunake
    Ōpunake is a small coastal town on the west coast of New Zealand’s North Island, known for its surf beach and views of Mount Taranaki.
  • C. Pipikoro
    Pipikoro is an Austronesian language spoken in Central Sulawesi, Indonesia, known locally as an alternate name for the Uma language.
  • D. Pangim
    Pangim, also known as Panaji, is the riverside city that serves as the administrative and cultural center of the Indian state of Goa.
  • E. Koekange
    Koekange is a village in the Dutch province of Drenthe, located within the municipality of De Wolden.
  • 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: Upongkor
Triple: [Erromango, largestSettlement, Upongkor]
Generated description
Upongkor is the principal settlement and main population center on the island of Erromango in Vanuatu.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Upongkor
Target entity description: Upongkor is the principal settlement and main population center on the island of Erromango in Vanuatu.
  • A. Korekore
    Korekore is a major dialect of the Shona language spoken primarily in northern Zimbabwe.
  • B. Ōpunake
    Ōpunake is a small coastal town on the west coast of New Zealand’s North Island, known for its surf beach and views of Mount Taranaki.
  • C. Pipikoro
    Pipikoro is an Austronesian language spoken in Central Sulawesi, Indonesia, known locally as an alternate name for the Uma language.
  • D. Pangim
    Pangim, also known as Panaji, is the riverside city that serves as the administrative and cultural center of the Indian state of Goa.
  • E. Koekange
    Koekange is a village in the Dutch province of Drenthe, located within the municipality of De Wolden.
  • 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_69c687effb44819092b95d07d0368c9f completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6e9b1a7908190bd215ffb84592e32 completed March 27, 2026, 8:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7cc014fb88190818e12b7abe90c0a completed March 28, 2026, 12:39 p.m.
NEDg Description generation batch_69c7ccf3cd4c8190babc9e0e6b9f4371 completed March 28, 2026, 12:43 p.m.
NED2 Entity disambiguation (via description) batch_69c7cd5cedd88190b72df89b068c4483 completed March 28, 2026, 12:45 p.m.
Created at: March 27, 2026, 2:53 p.m.