Triple

T5652402
Position Surface form Disambiguated ID Type / Status
Subject Ullensaker E124535 entity
Predicate previousCounty P65436 FINISHED
Object Akershus E92851 NE FINISHED

How this triple was built (3 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: Akershus | Statement: [Ullensaker, previousCounty, Akershus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Akershus
Context triple: [Ullensaker, previousCounty, Akershus]
  • A. Akershus chosen
    Akershus is a historical county in southeastern Norway that encompassed areas around the capital Oslo and played a key role in the region’s administrative and military history.
  • B. Akershus Fortress
    Akershus Fortress is a historic medieval castle and former royal residence that has served as a key military stronghold and national symbol in Norway’s capital.
  • C. Eidsvoll
    Eidsvoll is a historic Norwegian town best known as the site where Norway’s constitution was drafted and signed in 1814.
  • D. Royal Palace, Oslo
    The Royal Palace in Oslo is the official residence of the Norwegian monarch and a central symbol of Norway’s constitutional monarchy and national heritage.
  • E. Kolsås
    Kolsås is a suburban area in Bærum, Norway, known as the endpoint of one of the Oslo Metro lines and for its nearby forested hill popular for hiking and climbing.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: previousCounty
Context triple: [Ullensaker, previousCounty, Akershus]
  • A. previousProvince
    Indicates that one province was the immediately preceding administrative region of another in a temporal or historical sequence.
  • B. homeCounty
    Indicates that a specified county is the primary home or place of residence for a given person or entity.
  • C. inCounty
    Indicates that one entity is geographically or administratively located within the boundaries of a specified county.
  • D. startCounty
    Indicates the county in which something (such as an event, route, or process) begins or originates.
  • E. formerDistrict
    Indicates that one entity previously served as a district of another entity but no longer holds that status.
  • F. None of above. chosen

Provenance (5 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_69c00825df388190a58742fa9b1aa33d completed March 22, 2026, 3:17 p.m.
NER Named-entity recognition batch_69c022d8a2588190b10de59edbc8841f completed March 22, 2026, 5:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d941ea4819084bab644d6cc2153 completed March 22, 2026, 8:14 p.m.
PD Predicate disambiguation batch_69c01b2274b48190b2ef57ed728f785c completed March 22, 2026, 4:38 p.m.
PDg Predicate description generation batch_69c01f0727bc8190b16e9a669c04b4dd completed March 22, 2026, 4:55 p.m.
Created at: March 22, 2026, 3:42 p.m.