Triple

T14297331
Position Surface form Disambiguated ID Type / Status
Subject N218 E354473 entity
Predicate connects P390 FINISHED
Object Zuidland E71366 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: Zuidland | Statement: [N218, connects, Zuidland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zuidland
Context triple: [N218, connects, Zuidland]
  • A. Zuidland chosen
    Zuidland is a village in the western Netherlands, located in the province of South Holland.
  • B. Hollandia
    Hollandia was a major World War II Allied military base and logistical hub in New Guinea, used as a key staging area for operations in the South West Pacific.
  • C. Hollandia
    Hollandia is an engineering firm known for its role in designing and constructing major structures such as the London Eye.
  • D. Noordereiland
    Noordereiland is a densely built river island and residential neighborhood in the Nieuwe Maas in Rotterdam, known for its historic character and strategic location between the city center and the southern bank.
  • E. Westeinde
    Westeinde is a small settlement in the municipality of Westerveld in the Dutch province of Drenthe.
  • 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_69d8278e17088190b328c5a9d4be74ff completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de717cfc948190ace5f1c91283b1c3 completed April 14, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d246ccc81909e9fe8b4487dcc88 completed May 8, 2026, 1:32 a.m.
Created at: April 10, 2026, 1:11 a.m.