Triple

T36652275
Position Surface form Disambiguated ID Type / Status
Subject Fakaofo E904891 entity
Predicate hasAlternativeName P39 FINISHED
Object Fakaofo Island
Fakaofo Island is a low-lying coral atoll in Tokelau, a New Zealand-administered territory in the South Pacific Ocean, known for its traditional Polynesian culture and vulnerable position to sea-level rise.
E2285717 NE FINISHED

How this triple was built (2 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: Fakaofo Island | Statement: [Fakaofo, hasAlternativeName, Fakaofo Island]
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: Fakaofo Island
Triple: [Fakaofo, hasAlternativeName, Fakaofo Island]
Generated description
Fakaofo Island is a low-lying coral atoll in Tokelau, a New Zealand-administered territory in the South Pacific Ocean, known for its traditional Polynesian culture and vulnerable position to sea-level rise.

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_69f76e6d3a3c81909db73eda9e0516bd completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f7c733bfdc8190873ac4fd1845417c completed May 3, 2026, 10:07 p.m.
NED1 Entity disambiguation (via context triple) batch_6a460e5281c081909cda32b43c8f9b6d completed July 2, 2026, 7:08 a.m.
NEDg Description generation batch_6a461226718881908f3a3a2b036dac38 completed July 2, 2026, 7:24 a.m.
NED2 Entity disambiguation (via description) batch_6a4612a8097c8190ac6a31ed5d69df44 completed July 2, 2026, 7:26 a.m.
Created at: May 3, 2026, 4:11 p.m.