Triple

T3696418
Position Surface form Disambiguated ID Type / Status
Subject Shira E78469 entity
Predicate olderThan P5873 FINISHED
Object Kibo E312465 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: Kibo | Statement: [Shira, olderThan, Kibo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kibo
Context triple: [Shira, olderThan, Kibo]
  • A. Mount Kilimanjaro
    Mount Kilimanjaro is a massive dormant stratovolcano in northeastern Tanzania and the tallest mountain in Africa, famed for its snow-capped summit rising above the surrounding savanna.
  • B. Kili
    Kili is a young Dwarf prince of Durin's line and a member of Thorin Oakenshield's company in J.R.R. Tolkien's Middle-earth legendarium.
  • C. Mount Tambuyukon
    Mount Tambuyukon is a high, biodiverse mountain in Sabah, Malaysian Borneo, known for its rich montane ecosystems and rare endemic species.
  • D. Kibo summit crater chosen
    Kibo summit crater is the large volcanic crater at the highest point of Mount Kilimanjaro in Tanzania, forming the mountain’s main summit area.
  • E. Meru
    Meru is a town in eastern Kenya that serves as a commercial and administrative hub for the surrounding agricultural region near Mount Kenya.
  • 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_69ad85e3b1888190abc983e06968696d completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc50f9ad88190a926042fa73d65dc completed March 8, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5767d12ac8190bf9be474bd6958c8 completed March 14, 2026, 2:53 p.m.
Created at: March 8, 2026, 3:26 p.m.