Triple

T16632114
Position Surface form Disambiguated ID Type / Status
Subject Bikini Bottom E404103 entity
Predicate hasPart P35 FINISHED
Object Goo Lagoon E404115 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: Goo Lagoon | Statement: [Bikini Bottom, hasPart, Goo Lagoon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Goo Lagoon
Context triple: [Bikini Bottom, hasPart, Goo Lagoon]
  • A. Goo Lagoon chosen
    Goo Lagoon is a popular underwater beach and recreational area in the animated series "SpongeBob SquarePants," known for its goo-filled shoreline and frequent character hangouts.
  • B. Hong Lagoon
    Hong Lagoon is a scenic, emerald-green tidal lagoon encircled by towering limestone cliffs, accessible by boat or kayak within Thailand’s Hong Islands.
  • C. Sekisei Lagoon
    Sekisei Lagoon is a vast and renowned coral reef area near Ishigaki Island in Okinawa, Japan, celebrated for its rich marine biodiversity and clear turquoise waters.
  • D. Aur Lagoon
    Aur Lagoon is the central coral-fringed lagoon of Aur Atoll in the Marshall Islands, known for its clear tropical waters and rich marine life.
  • E. Oceano Lagoon
    Oceano Lagoon is a coastal wetland area in Oceano, California, known for its tranquil waters, surrounding dunes, and habitat for diverse bird and marine life.
  • 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_69d883897eb481909eaaa088ba9918d9 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e378e704c08190a28286ac12165ea5 completed April 18, 2026, 12:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a007dbe82b4819093b954567790bef7 completed May 10, 2026, 12:44 p.m.
Created at: April 10, 2026, 5:17 a.m.