Triple

T1806113
Position Surface form Disambiguated ID Type / Status
Subject Saint Catherine E40222 entity
Predicate roadAccessFrom P22549 FINISHED
Object Nuweiba 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: Nuweiba | Statement: [Saint Catherine, roadAccessFrom, Nuweiba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nuweiba
Context triple: [Saint Catherine, roadAccessFrom, Nuweiba]
  • A. Ras al-Ghar
    Ras al-Ghar is a key coastal military installation in Saudi Arabia that serves as one of the principal bases for the Royal Saudi Naval Forces.
  • B. Bahraich
    Bahraich is a city in the Indian state of Uttar Pradesh, known for its location in the Terai region near the Nepal border and its historical and cultural significance.
  • C. 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.
  • D. Fes el-Jdid
    Fes el-Jdid is a historic quarter of the Moroccan city of Fez, known for housing the Royal Palace and serving as a former administrative and military center.
  • E. Ain El Mreisseh
    Ain El Mreisseh is a coastal neighborhood in Beirut, Lebanon, known for its seaside promenade, hotels, and proximity to the city’s central districts.
  • 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_69a88643a3388190a612f2ebe1fb29e7 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa659798b88190bd3070349ce6bebb completed March 6, 2026, 5:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69adbf58cf648190a5a71adc82cfb618 completed March 8, 2026, 6:26 p.m.
Created at: March 4, 2026, 7:32 p.m.