Triple

T21511626
Position Surface form Disambiguated ID Type / Status
Subject أمانة العاصمة E530737 entity
Predicate تضم P1393 FINISHED
Object مطار صنعاء الدولي NE NERFINISHED

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: مطار صنعاء الدولي | Statement: [أمانة العاصمة, تضم, مطار صنعاء الدولي]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: مطار صنعاء الدولي
Context triple: [أمانة العاصمة, تضم, مطار صنعاء الدولي]
  • A. Sanaʽa International Airport chosen
    Sanaʽa International Airport is the main commercial airport serving Yemen’s capital, handling both domestic and international flights.
  • B. Hodeidah International Airport
    Hodeidah International Airport is the main civilian airport serving the coastal city and governorate of Al Hudaydah in western Yemen.
  • C. Aden Adde International Airport
    Aden Adde International Airport is the main international airport serving Mogadishu and the primary aviation gateway to Somalia.
  • D. Al-Jawf Domestic Airport
    Al-Jawf Domestic Airport is a regional airport in northern Saudi Arabia serving the city of Sakakah and the surrounding Al-Jawf Province.
  • E. Salalah Airport
    Salalah Airport is a major international airport in southern Oman serving the city of Salalah and the Dhofar region, handling both domestic and regional flights and supporting the area’s tourism and trade.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c45c81f08190a6b8bbb70a45aae7 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea863b18819080e3ff249b10ec28 completed April 23, 2026, 9:46 a.m.
Created at: April 16, 2026, 6:25 p.m.