Triple

T15782712
Position Surface form Disambiguated ID Type / Status
Subject Slussen metro station E382658 entity
Predicate nearbyPlace P2064 FINISHED
Object Katarinahissen E1160922 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: Katarinahissen | Statement: [Slussen metro station, nearbyPlace, Katarinahissen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Katarinahissen
Context triple: [Slussen metro station, nearbyPlace, Katarinahissen]
  • A. Katarinahissen chosen
    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.
  • 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 common Hungarian diminutive form of the female given name Katalin, similar to "Katie" for "Katherine" in English.
  • D. Kati
    Kati is a significant urban center in southwestern Mali known for its strategic location near the capital, Bamako.
  • E. Katiaan
    Katiaan is a rural barangay (village-level administrative division) of the municipality of Maitum in the province of Sarangani, Philippines.
  • 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_69d86da16e188190b89af699f1ed0bfe completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e05400716881909bc43212c8ea54d5 completed April 16, 2026, 3:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff90a2476c8190a153fb47cb4e7708 completed May 9, 2026, 7:53 p.m.
Created at: April 10, 2026, 4:48 a.m.