Triple

T4295382
Position Surface form Disambiguated ID Type / Status
Subject Al Bayda E99697 entity
Predicate alternativeName P39 FINISHED
Object Al-Bayda
Al-Bayda is a city in eastern Libya known as an administrative center and gateway to the nearby Jebel Akhdar region.
E430942 NE FINISHED

How this triple was built (4 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-Bayda | Statement: [Al Bayda, alternativeName, Al-Bayda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Al-Bayda
Context triple: [Al Bayda, alternativeName, Al-Bayda]
  • A. Al-Darb
    Al-Darb is a town in southwestern Saudi Arabia located within the coastal Jazan Region along the Red Sea.
  • B. Al-Shamiya
    Al-Shamiya is a residential district in Kuwait City known for its central location and urban character within the capital area.
  • C. Qardaha
    Qardaha is a town in northwestern Syria best known as the ancestral home of the Assad family, which has dominated the country’s political leadership for decades.
  • D. Daburiyya
    Daburiyya is an Arab town in northern Israel located at the foot of Mount Tabor in the Lower Galilee region.
  • E. Jabriya
    Jabriya is a residential suburb in Kuwait known for its mix of apartment buildings, schools, and local shops within the Hawalli Governorate.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Al-Bayda
Triple: [Al Bayda, alternativeName, Al-Bayda]
Generated description
Al-Bayda is a city in eastern Libya known as an administrative center and gateway to the nearby Jebel Akhdar region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Al-Bayda
Target entity description: Al-Bayda is a city in eastern Libya known as an administrative center and gateway to the nearby Jebel Akhdar region.
  • A. Al-Darb
    Al-Darb is a town in southwestern Saudi Arabia located within the coastal Jazan Region along the Red Sea.
  • B. Al-Shamiya
    Al-Shamiya is a residential district in Kuwait City known for its central location and urban character within the capital area.
  • C. Qardaha
    Qardaha is a town in northwestern Syria best known as the ancestral home of the Assad family, which has dominated the country’s political leadership for decades.
  • D. Daburiyya
    Daburiyya is an Arab town in northern Israel located at the foot of Mount Tabor in the Lower Galilee region.
  • E. Jabriya
    Jabriya is a residential suburb in Kuwait known for its mix of apartment buildings, schools, and local shops within the Hawalli Governorate.
  • F. None of above. chosen

Provenance (5 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_69b3455175088190aa79c6e03b86647e completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35085b864819086cf726285384566 completed March 12, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5d073936c8190b48045f8370ea27f completed March 14, 2026, 9:17 p.m.
NEDg Description generation batch_69b5d11a30a08190b9f58fadd2415559 completed March 14, 2026, 9:20 p.m.
NED2 Entity disambiguation (via description) batch_69b5d194975481908b029ab106223c6c completed March 14, 2026, 9:22 p.m.
Created at: March 12, 2026, 11:08 p.m.