Triple

T5084542
Position Surface form Disambiguated ID Type / Status
Subject Peveril Castle E114603 entity
Predicate viewOf P854 FINISHED
Object Mam Tor E113158 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: Mam Tor | Statement: [Peveril Castle, viewOf, Mam Tor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mam Tor
Context triple: [Peveril Castle, viewOf, Mam Tor]
  • A. Mam Tor chosen
    Mam Tor is a prominent hill in the Peak District of England, noted for its dramatic landslips, Iron Age hillfort, and extensive walking trails with panoramic views.
  • B. Moel Hebog
    Moel Hebog is a prominent mountain in North Wales known for its rugged slopes and panoramic views over the surrounding Snowdonia landscape.
  • C. Yr Wyddfa
    Yr Wyddfa is the Welsh name for Snowdon, the highest and one of the most iconic mountains in Wales and the entire British Isles.
  • D. Wielki Giewont
    Wielki Giewont is the highest and most prominent peak of the Giewont massif in Poland’s Tatra Mountains, known for its distinctive profile and popular hiking routes.
  • E. Pen y Fan
    Pen y Fan is a prominent mountain in South Wales known for its sweeping views and popularity with hikers and outdoor enthusiasts.
  • 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_69bd443e941881908eb4e8c685b6f656 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd75192d188190a7631bce5faf7de3 completed March 20, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69beb13a8be08190a0f1fc3aec224dde completed March 21, 2026, 2:54 p.m.
Created at: March 20, 2026, 1:40 p.m.