Triple

T7651268
Position Surface form Disambiguated ID Type / Status
Subject Kerstin Ekman E173256 entity
Predicate notable work P4 FINISHED
Object Springkällan E516400 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: Springkällan | Statement: [Kerstin Ekman, notable work, Springkällan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Springkällan
Context triple: [Kerstin Ekman, notable work, Springkällan]
  • A. State of the Living Spring
    State of the Living Spring is a popular nickname for Osun State in southwestern Nigeria, highlighting its rich natural water resources and cultural heritage.
  • B. Syvota
    Syvota is a coastal village and popular tourist resort on the Ionian Sea in northwestern Greece, known for its scenic bays and nearby islands.
  • C. Fuentes Brotantes
    Fuentes Brotantes is a neighborhood and natural park area in Mexico City known for its springs, green spaces, and recreational facilities within the Tlalpan borough.
  • D. La Source chosen
    La Source is the original French title of the 1960 Swedish film "The Virgin Spring," directed by Ingmar Bergman.
  • E. Soure
    Soure is a Portuguese municipality located in the central region within the Coimbra District, known for its rural landscapes and historical heritage.
  • 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_69c6995473348190a4f41d110d619a18 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c70175e4b88190bc40c839a42180d4 completed March 27, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c89ae293148190a30ef03a4a594fe6 completed March 29, 2026, 3:22 a.m.
Created at: March 27, 2026, 3:58 p.m.