Triple

T5122126
Position Surface form Disambiguated ID Type / Status
Subject Al Hudaydah E115492 entity
Predicate alternateName P39 FINISHED
Object Al Hodeidah E115492 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 Hodeidah | Statement: [Al Hudaydah, alternateName, Al Hodeidah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Al Hodeidah
Context triple: [Al Hudaydah, alternateName, Al Hodeidah]
  • A. Al Hudaydah chosen
    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.
  • B. Aden
    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.
  • C. Gharyan
    Gharyan is a major town in northwestern Libya, known as an administrative and commercial center in the Nafusa Mountains region.
  • 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. 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.
  • 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_69bd4442ade0819087b9461f892b206b completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd780341ac8190b7403811d340c74f completed March 20, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed9185b9481908afd32bdeefa3f1e completed March 21, 2026, 5:44 p.m.
Created at: March 20, 2026, 1:42 p.m.