Triple

T12236680
Position Surface form Disambiguated ID Type / Status
Subject Lae Atoll E291612 entity
Predicate hasSettlement P1068 FINISHED
Object Lae E358196 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: Lae | Statement: [Lae Atoll, hasSettlement, Lae]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lae
Context triple: [Lae Atoll, hasSettlement, Lae]
  • A. Lae chosen
    Lae is a major port city on the northeastern coast of Papua New Guinea that served as a key strategic site during World War II and is now an important commercial and industrial center.
  • B. Port Moresby
    Port Moresby is the largest city and main economic and administrative center of Papua New Guinea, located on the southeastern coast of the island of New Guinea.
  • C. Port Vila
    Port Vila is the capital and largest city of Vanuatu, located on the island of Efate in the South Pacific.
  • D. Vaitape
    Vaitape is the main village and commercial hub of Bora Bora in French Polynesia, serving as its primary port and population center.
  • E. Suva, Fiji
    Suva, Fiji is the capital and largest city of Fiji, serving as a major political, economic, and regional administrative hub in the South Pacific.
  • 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_69d6ab668acc8190963ba424049d6aee completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cb2892c81909a97b3ad6ec2c21b completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e5e32908190a3c1e75ba336ad89 completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:51 p.m.