Triple

T4288102
Position Surface form Disambiguated ID Type / Status
Subject Bizerte Governorate E97319 entity
Predicate contains P35 FINISHED
Object Tinja
Tinja is a small town in northern Tunisia known for its location near Lake Bizerte and its historical and ecological significance.
 E428098 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: Tinja | Statement: [Bizerte Governorate, contains, Tinja]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tinja
Context triple: [Bizerte Governorate, contains, Tinja]
  • A. Tinajo
    Tinajo is a rural municipality on the western side of Lanzarote in Spain’s Canary Islands, known for its volcanic landscapes and proximity to Timanfaya National Park.
  • B. Ismaelillo
    Ismaelillo is a seminal 1882 poetry collection by Cuban writer and independence leader José Martí, often regarded as an early example of Latin American modernist literature.
  • C. Cieneguilla
    Cieneguilla is a semi-rural district in the eastern part of Lima, Peru, known for its natural landscapes, country houses, and outdoor recreation areas.
  • D. Labayu
    Labayu was a 14th-century BCE Canaanite ruler known from the Amarna letters for his aggressive expansionism and conflicts with neighboring city-states.
  • E. Mati
    Mati is a coastal city in the Davao Region of the Philippines known for its beaches, surfing spots, and laid-back atmosphere.
  • 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: Tinja
Triple: [Bizerte Governorate, contains, Tinja]
Generated description
Tinja is a small town in northern Tunisia known for its location near Lake Bizerte and its historical and ecological significance.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tinja
Target entity description: Tinja is a small town in northern Tunisia known for its location near Lake Bizerte and its historical and ecological significance.
  • A. Tinajo
    Tinajo is a rural municipality on the western side of Lanzarote in Spain’s Canary Islands, known for its volcanic landscapes and proximity to Timanfaya National Park.
  • B. Ismaelillo
    Ismaelillo is a seminal 1882 poetry collection by Cuban writer and independence leader José Martí, often regarded as an early example of Latin American modernist literature.
  • C. Cieneguilla
    Cieneguilla is a semi-rural district in the eastern part of Lima, Peru, known for its natural landscapes, country houses, and outdoor recreation areas.
  • D. Labayu
    Labayu was a 14th-century BCE Canaanite ruler known from the Amarna letters for his aggressive expansionism and conflicts with neighboring city-states.
  • E. Mati
    Mati is a coastal city in the Davao Region of the Philippines known for its beaches, surfing spots, and laid-back atmosphere.
  • 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_69b3454595848190a0e6bbb6a2bea040 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3505ef9fc81909c73e64bf77052ce completed March 12, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5c72bec388190b03048507e2e6858 completed March 14, 2026, 8:38 p.m.
NEDg Description generation batch_69b5c7ab41fc81909813233bd729e989 completed March 14, 2026, 8:40 p.m.
NED2 Entity disambiguation (via description) batch_69b5c81d6e188190a1f0f21a990943d0 completed March 14, 2026, 8:42 p.m.
Created at: March 12, 2026, 11:08 p.m.