Triple

T16367339
Position Surface form Disambiguated ID Type / Status
Subject Baldwin I of Jerusalem E397470 entity
Predicate deathPlace P21 FINISHED
Object al-ʿArīsh E62765 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: al-ʿArīsh | Statement: [Baldwin I of Jerusalem, deathPlace, al-ʿArīsh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: al-ʿArīsh
Context triple: [Baldwin I of Jerusalem, deathPlace, al-ʿArīsh]
  • A. El Arish chosen
    El Arish is a coastal city in northeastern Egypt on the Mediterranean Sea, serving as the capital and main urban center of North Sinai Governorate.
  • B. Al-Arish city
    Al-Arish city is a coastal urban center in Egypt’s North Sinai Governorate on the Mediterranean Sea, known for its strategic location and regional administrative importance.
  • C. Kharga
    Kharga is a town in Egypt’s Western Desert that serves as the administrative center of the surrounding Kharga Oasis region.
  • D. Arafo
    Arafo is a small municipality on the island of Tenerife in Spain’s Canary Islands, known for its rural landscapes and traditional Canarian character.
  • E. Ain Dar
    Ain Dar is a major producing sector within Saudi Arabia’s vast Ghawar oil field, known for its significant contribution to the field’s overall crude output.
  • 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_69d87f2778dc8190aa95c7572db127e6 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2ff3de3d88190a42cd708746c8bd0 completed April 18, 2026, 3:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a002dc29f088190ba5d69ff3c12a251 completed May 10, 2026, 7:03 a.m.
Created at: April 10, 2026, 5:08 a.m.