Triple

T10428894
Position Surface form Disambiguated ID Type / Status
Subject Flå E245856 entity
Predicate borders P224 FINISHED
Object Sigdal E440170 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: Sigdal | Statement: [Flå, borders, Sigdal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sigdal
Context triple: [Flå, borders, Sigdal]
  • A. Sigdal chosen
    Sigdal is a rural municipality in southeastern Norway known for its forested landscapes, lakes, and traditional farming communities.
  • B. Sardoal
    Sardoal is a small Portuguese municipality known for its historic village center and traditional religious and cultural festivities, located in the Centro Region of Portugal.
  • C. Sieda
    Sieda is the surname of Abdulbaset Sieda, a Syrian-Kurdish academic and opposition political figure.
  • D. Daulian
    Daulian refers to an inhabitant or native of the ancient Greek town of Daulis in Phocis.
  • E. Sassella
    Sassella is a renowned subregion of Italy’s Valtellina wine area, best known for its steep terraced vineyards producing distinctive Nebbiolo-based wines.
  • 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_69d381bf3dc08190bf35a2643e4e8f22 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4ea4b4b5881908ae23f8efeea482b completed April 7, 2026, 11:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7fc2d54048190b25f4d168a75ad3a completed April 9, 2026, 7:21 p.m.
Created at: April 6, 2026, 12:13 p.m.