Triple

T2810593
Position Surface form Disambiguated ID Type / Status
Subject Jellyfish Lake E54157 entity
Predicate nearbyCity P350 FINISHED
Object Koror E61554 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: Koror | Statement: [Jellyfish Lake, nearbyCity, Koror]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Koror
Context triple: [Jellyfish Lake, nearbyCity, Koror]
  • A. Koror chosen
    Koror is the main commercial and population center of Palau, located on Koror Island in the western Pacific Ocean.
  • B. Angaur
    Angaur is a small coral island in the southwest of Palau known for its phosphate deposits, World War II history, and unique mix of Micronesian, Japanese, and Western influences.
  • C. Marovo
    Marovo is an Oceanic language spoken by communities in the Solomon Islands, particularly around the Marovo Lagoon in Western Province.
  • D. Majuro
    Majuro is the largest city and political, economic, and transportation center of the Republic of the Marshall Islands, located on a coral atoll in the central Pacific Ocean.
  • E. Jaluit Atoll
    Jaluit Atoll is a large coral atoll in the Pacific Ocean that forms part of the Marshall Islands and is known for its lagoon, scattered islets, and historical role as an administrative center under German and Japanese rule.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ab49dcee188190b5c6eca9ae9e3469 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde335b38819090c70d5e2ca14d79 completed March 7, 2026, 8:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69b01d64629481909da4c7b4f6c96c44 completed March 10, 2026, 1:32 p.m.
Created at: March 6, 2026, 9:59 p.m.