Triple

T3217508
Position Surface form Disambiguated ID Type / Status
Subject Maalla E67431 entity
Predicate partOf P40 FINISHED
Object Aden E22158 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: Aden | Statement: [Maalla, partOf, Aden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aden
Context triple: [Maalla, partOf, Aden]
  • A. Aden chosen
    Aden is a strategic port city in Yemen located on the Gulf of Aden, historically significant as a major maritime hub and former British colonial stronghold.
  • B. Salalah
    Salalah is a coastal city in southern Oman known for its monsoon-cooled climate, lush green landscapes, and role as a regional tourism and commercial hub.
  • C. Al Hudaydah
    Al Hudaydah is a key Red Sea port city in western Yemen that serves as one of the country’s main commercial and strategic hubs.
  • D. Sanaʽa
    Sanaʽa is the historic capital and one of the largest cities of Yemen, renowned for its ancient architecture and cultural significance in the Arabian Peninsula.
  • E. SANAA
    SANAA is a renowned Japanese architectural firm, led by Kazuyo Sejima and Ryue Nishizawa, celebrated for its minimalist, light-filled designs and influential contemporary projects worldwide.
  • 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_69ad858b8adc8190ad989712c87a476b completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adab0ae494819093d39c367facde27 completed March 8, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e826c50c8190a6e472e7a8862df2 completed March 12, 2026, 4:21 p.m.
Created at: March 8, 2026, 3:08 p.m.