Triple

T3272094
Position Surface form Disambiguated ID Type / Status
Subject Hamar E68670 entity
Predicate hasLandmark P105 FINISHED
Object Hamar Cathedral Ruins E331570 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: Hamar Cathedral Ruins | Statement: [Hamar, hasLandmark, Hamar Cathedral Ruins]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hamar Cathedral Ruins
Context triple: [Hamar, hasLandmark, Hamar Cathedral Ruins]
  • A. Hamar Cathedral chosen
    Hamar Cathedral is a historic medieval church ruin and former cathedral located in the town of Hamar in Innlandet county, Norway.
  • B. Muhraka Monastery
    Muhraka Monastery is a Carmelite monastery on Israel’s Mount Carmel traditionally associated with the biblical story of the Prophet Elijah’s contest with the prophets of Baal.
  • C. Narikala Fortress
    Narikala Fortress is an ancient hilltop fortification overlooking Tbilisi, Georgia, known as one of the city’s most iconic historical landmarks.
  • D. Alaverdi Monastery
    Alaverdi Monastery is a historic Georgian Orthodox monastic complex in eastern Georgia, renowned for its towering 11th-century cathedral and significance as a religious and architectural landmark.
  • E. Hellenstein ruins
    The Hellenstein ruins are the remains of a historic hilltop castle complex overlooking Heidenheim an der Brenz in southern Germany.
  • 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_69ad859b54f881909bf530d549caf2fd completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adaff6308881908886a44804a0bb09 completed March 8, 2026, 5:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69b28f0793e08190af55ee16e5091451 completed March 12, 2026, 10:01 a.m.
Created at: March 8, 2026, 3:10 p.m.