Triple

T9824161
Position Surface form Disambiguated ID Type / Status
Subject Al Wahat District E238611 entity
Predicate containsSettlement P847 FINISHED
Object Jalu
Jalu is an oasis town in northeastern Libya known for its date palms, desert landscape, and role as a local administrative and trading center.
 E822517 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: Jalu | Statement: [Al Wahat District, containsSettlement, Jalu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jalu
Context triple: [Al Wahat District, containsSettlement, Jalu]
  • A. Balaesang
    Balaesang is an Austronesian language of the Tomini–Tolitoli group spoken in Central Sulawesi, Indonesia.
  • B. Nambui
    Nambui was a Mongol empress consort of the Yuan dynasty and a prominent wife of Kublai Khan, influential in the imperial court after the death of his first empress.
  • C. Jandali
    Jandali is an Arabic family name most notably associated with Abdulfattah Jandali, the biological father of Apple co-founder Steve Jobs.
  • D. Naju
    Naju is a historic city in South Korea known for its pear cultivation and location in the southwestern province of South Jeolla.
  • E. Kamchiya
    Kamchiya is a popular Black Sea coastal resort area in northeastern Bulgaria, known for its wide sandy beaches and proximity to the scenic Kamchiya River and nature reserve.
  • 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: Jalu
Triple: [Al Wahat District, containsSettlement, Jalu]
Generated description
Jalu is an oasis town in northeastern Libya known for its date palms, desert landscape, and role as a local administrative and trading center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jalu
Target entity description: Jalu is an oasis town in northeastern Libya known for its date palms, desert landscape, and role as a local administrative and trading center.
  • A. Balaesang
    Balaesang is an Austronesian language of the Tomini–Tolitoli group spoken in Central Sulawesi, Indonesia.
  • B. Nambui
    Nambui was a Mongol empress consort of the Yuan dynasty and a prominent wife of Kublai Khan, influential in the imperial court after the death of his first empress.
  • C. Jandali
    Jandali is an Arabic family name most notably associated with Abdulfattah Jandali, the biological father of Apple co-founder Steve Jobs.
  • D. Naju
    Naju is a historic city in South Korea known for its pear cultivation and location in the southwestern province of South Jeolla.
  • E. Kamchiya
    Kamchiya is a popular Black Sea coastal resort area in northeastern Bulgaria, known for its wide sandy beaches and proximity to the scenic Kamchiya River and nature reserve.
  • 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_69ca84e0dd1881909800765d1e21f735 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb316f8948190ada3738787a5cb6a completed April 2, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1cc810bac8190a5ff94c0717e7706 completed April 5, 2026, 2:44 a.m.
NEDg Description generation batch_69d1cd5a04fc8190a78a1459b78962b1 completed April 5, 2026, 2:47 a.m.
NED2 Entity disambiguation (via description) batch_69d1cdca61d481909f3394bf593f0bfb completed April 5, 2026, 2:49 a.m.
Created at: March 30, 2026, 8:31 p.m.