Triple

T15501277
Position Surface form Disambiguated ID Type / Status
Subject Slussen E378958 entity
Predicate hasNearbyLandmark P2064 FINISHED
Object Katarinahissen
Katarinahissen is a historic outdoor elevator in central Stockholm that connects the Slussen area with the higher Södermalm district and offers panoramic views over the city.
 E1160922 NE FINISHED

How this triple was built (4 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: Katarinahissen | Statement: [Slussen, hasNearbyLandmark, Katarinahissen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Katarinahissen
Context triple: [Slussen, hasNearbyLandmark, Katarinahissen]
  • A. Kati
    Kati is a common Hungarian diminutive form of the female given name Katalin, similar to "Katie" for "Katherine" in English.
  • B. Kati
    Kati is an Indo-Iranian Nuristani ethnic group and language community native to the mountainous Nuristan region of eastern Afghanistan.
  • C. Kati
    Kati is a significant urban center in southwestern Mali known for its strategic location near the capital, Bamako.
  • D. Katiaan
    Katiaan is a rural barangay (village-level administrative division) of the municipality of Maitum in the province of Sarangani, Philippines.
  • E. Bahdini
    Bahdini is a Northern Kurdish dialect spoken primarily in parts of Turkey and Iraq.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Katarinahissen
Triple: [Slussen, hasNearbyLandmark, Katarinahissen]
Generated description
Katarinahissen is a historic outdoor elevator in central Stockholm that connects the Slussen area with the higher Södermalm district and offers panoramic views over the city.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Katarinahissen
Target entity description: Katarinahissen is a historic outdoor elevator in central Stockholm that connects the Slussen area with the higher Södermalm district and offers panoramic views over the city.
  • A. Kati
    Kati is an Indo-Iranian Nuristani ethnic group and language community native to the mountainous Nuristan region of eastern Afghanistan.
  • B. Kati
    Kati is a common Hungarian diminutive form of the female given name Katalin, similar to "Katie" for "Katherine" in English.
  • C. Kati
    Kati is a significant urban center in southwestern Mali known for its strategic location near the capital, Bamako.
  • D. Katiaan
    Katiaan is a rural barangay (village-level administrative division) of the municipality of Maitum in the province of Sarangani, Philippines.
  • E. Bahdini
    Bahdini is a Northern Kurdish dialect spoken primarily in parts of Turkey and Iraq.
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03fcb4e8c81908e4ab463e3ae252b completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3669f908819087162b1b8a4e4320 completed May 9, 2026, 1:28 p.m.
NEDg Description generation batch_69ff375856448190a61979dfff751f06 completed May 9, 2026, 1:32 p.m.
NED2 Entity disambiguation (via description) batch_69ff382f1bbc8190810d0d825430f9ea completed May 9, 2026, 1:35 p.m.
Created at: April 10, 2026, 3:54 a.m.