Triple

T12453596
Position Surface form Disambiguated ID Type / Status
Subject Medina Governorate E297595 entity
Predicate contains P35 FINISHED
Object Mount Uhud E42400 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: Mount Uhud | Statement: [Medina Governorate, contains, Mount Uhud]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Uhud
Context triple: [Medina Governorate, contains, Mount Uhud]
  • A. Mount Uhud chosen
    Mount Uhud is a prominent mountain north of Medina in Saudi Arabia, historically significant as the site of the Battle of Uhud in early Islamic history.
  • B. Mount Halhul
    Mount Halhul is a prominent peak in the southern West Bank near the town of Halhul, known for its elevation and strategic views over the surrounding Judean landscape.
  • C. Mount Salahutu
    Mount Salahutu is the tallest mountain on Ambon Island in Indonesia, known for its lush tropical forests and panoramic views over the surrounding seas.
  • D. Jebel Oda
    Jebel Oda is a prominent mountain peak that forms the highest point in Sudan’s Red Sea Hills region.
  • E. Jabal al-Mukabber
    Jabal al-Mukabber is a predominantly Palestinian neighborhood situated on a hillside in southern East Jerusalem, overlooking the Old City and surrounding areas.
  • 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_69d6ada166c48190b902972cd2408fa3 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94da0b5988190b9df26dd3bb87337 completed April 10, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63f16e87c8190b7e9f61561ae865a completed May 2, 2026, 6:14 p.m.
Created at: April 8, 2026, 9:56 p.m.