Triple

T14729698
Position Surface form Disambiguated ID Type / Status
Subject The Vale of Arryn E346037 entity
Predicate borderFeature P1896 FINISHED
Object Mountains of the Moon E329626 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: Mountains of the Moon | Statement: [The Vale of Arryn, borderFeature, Mountains of the Moon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mountains of the Moon
Context triple: [The Vale of Arryn, borderFeature, Mountains of the Moon]
  • A. Mountains of the Moon chosen
    Mountains of the Moon is the traditional name for the Rwenzori Mountains, a snow-capped range in East Africa historically associated with the source of the Nile.
  • B. Mountain of the Sun
    "Mountain of the Sun" is a song by American rock band Greta Van Fleet from their debut studio album, *Anthem of the Peaceful Army*.
  • C. Kiliia
    Kiliia is a historic town in southwestern Ukraine situated on the Danube River near the border with Romania.
  • D. Mahameru
    Mahameru is the revered local name for Mount Semeru, the highest and one of the most active volcanoes on the island of Java in Indonesia.
  • E. Sangotedo
    Sangotedo is a rapidly developing suburban area in the Lekki–Epe corridor of Lagos, Nigeria, known for its growing residential estates and shopping centers.
  • 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_69d822e5911c8190ba589f957dbd9ba7 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec26179688190ba9f3cd045da0e2a completed April 14, 2026, 10:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb87ef7c8190a46f317e5475d40e completed May 8, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:29 a.m.