Triple

T19511398
Position Surface form Disambiguated ID Type / Status
Subject Jabal Sabir E488161 entity
Predicate nameMeaning P453 FINISHED
Object Mount Sabir
Mount Sabir is a prominent mountain in Yemen known for its high elevation, terraced agriculture, and views over the city of Taiz.
E1382844 NE FINISHED

How this triple was built (4 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: Mount Sabir | Statement: [Jabal Sabir, nameMeaning, Mount Sabir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Sabir
Context triple: [Jabal Sabir, nameMeaning, Mount Sabir]
  • A. Mount Barkan
    Mount Barkan is the highest peak in Israel’s Gilboa mountain range, known for its scenic views and surrounding nature reserves.
  • B. Mount Sikaram
    Mount Sikaram is a prominent mountain peak on the Afghanistan–Pakistan border, known as the highest summit of the Safed Koh range.
  • C. Agil Mountain
    Agil Mountain is an alternative name for Mount Taron, a prominent peak in Papua New Guinea’s New Ireland Province and one of the highest mountains in the Bismarck Archipelago.
  • D. Gamila peak
    Gamila Peak is a prominent mountain summit in the Pindus range of northwestern Greece, known for its rugged alpine landscape and popularity among hikers and climbers.
  • E. Mount Rizeh
    Mount Rizeh is the tallest peak in the Kopet Dag mountain range along the border of Iran and Turkmenistan.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mount Sabir
Triple: [Jabal Sabir, nameMeaning, Mount Sabir]
Generated description
Mount Sabir is a prominent mountain in Yemen known for its high elevation, terraced agriculture, and views over the city of Taiz.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mount Sabir
Target entity description: Mount Sabir is a prominent mountain in Yemen known for its high elevation, terraced agriculture, and views over the city of Taiz.
  • A. Mount Barkan
    Mount Barkan is the highest peak in Israel’s Gilboa mountain range, known for its scenic views and surrounding nature reserves.
  • B. Mount Sikaram
    Mount Sikaram is a prominent mountain peak on the Afghanistan–Pakistan border, known as the highest summit of the Safed Koh range.
  • C. Agil Mountain
    Agil Mountain is an alternative name for Mount Taron, a prominent peak in Papua New Guinea’s New Ireland Province and one of the highest mountains in the Bismarck Archipelago.
  • D. Gamila peak
    Gamila Peak is a prominent mountain summit in the Pindus range of northwestern Greece, known for its rugged alpine landscape and popularity among hikers and climbers.
  • E. Mount Rizeh
    Mount Rizeh is the tallest peak in the Kopet Dag mountain range along the border of Iran and Turkmenistan.
  • F. None of above. chosen

Provenance (5 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_69d8e8da8bec819081f400199491ccc3 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63516572c8190a8719c51fd3f7147 completed April 20, 2026, 2:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a075772ad6881909551e56a27ba75bb completed May 15, 2026, 5:27 p.m.
NEDg Description generation batch_6a07589464088190868707aa1f8f9793 completed May 15, 2026, 5:32 p.m.
NED2 Entity disambiguation (via description) batch_6a0758dc31bc8190858815dc24b04ac4 completed May 15, 2026, 5:33 p.m.
Created at: April 10, 2026, 1:40 p.m.