Triple

T3351304
Position Surface form Disambiguated ID Type / Status
Subject Spijkenisse E70497 entity
Predicate locatedEastOf P4240 FINISHED
Object Brielle E97219 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: Brielle | Statement: [Spijkenisse, locatedEastOf, Brielle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brielle
Context triple: [Spijkenisse, locatedEastOf, Brielle]
  • A. Brielle chosen
    Brielle is a historic fortified town in the Dutch province of South Holland, known for its well-preserved medieval center and role in the Eighty Years' War.
  • B. Rainelle
    Rainelle is a small town located in western Greenbrier County, West Virginia, historically tied to the lumber industry and the surrounding Appalachian region.
  • C. Bree
    Bree is a central character in the science-fiction film "Transcendence," closely connected to the story’s exploration of artificial intelligence and technological ethics.
  • D. Brenna
    Brenna is a Norwegian surname most notably borne by Tonje Brenna, a contemporary Norwegian politician.
  • E. Laleia
    Laleia is a town in northern Timor-Leste known as the birthplace of independence leader and former president Xanana Gusmão.
  • 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_69ad85a4ef7c8190a29e2bbd6fa454e4 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb220721c81909eb4d8d35c923927 completed March 8, 2026, 5:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3252f3f248190bb61db5c4fd2781a completed March 12, 2026, 8:42 p.m.
Created at: March 8, 2026, 3:12 p.m.