Triple

T13684249
Position Surface form Disambiguated ID Type / Status
Subject Bunschoten E328079 entity
Predicate waterBody P1778 FINISHED
Object Eemmeer E1056271 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: Eemmeer | Statement: [Bunschoten, waterBody, Eemmeer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eemmeer
Context triple: [Bunschoten, waterBody, Eemmeer]
  • A. Eemmeer chosen
    Eemmeer is a lake in the central Netherlands that forms part of the border between the provinces of Flevoland and Utrecht and is used for recreation and water management.
  • B. Charass
    Charass is a Nigerian singer and songwriter known for his Afro-pop and highlife-influenced music.
  • C. Teba
    Teba is a town in the province of Málaga, Spain, historically notable as the site of a major medieval battle during the Reconquista.
  • D. Aderde
    Aderde is a town located in the Anseba region of Eritrea.
  • E. Wadi es-Sebua
    Wadi es-Sebua is an archaeological site in southern Egypt notable for its rock-cut New Kingdom temples, including one built by Ramesses II and relocated during the Nubian monuments salvage campaign.
  • 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_69d8076f1fa8819094664a59b55010df completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc66f8acc8190b2a82b722930b995 completed April 12, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f79d4a4a50819098bd4348eba19ee7 completed May 3, 2026, 7:08 p.m.
Created at: April 9, 2026, 9:53 p.m.