Triple

T19016689
Position Surface form Disambiguated ID Type / Status
Subject Jendouba Governorate E465368 entity
Predicate hasTown P847 FINISHED
Object Nefza
Nefza is a town in northwestern Tunisia known for its forests, lakes, and proximity to the Mediterranean coast.
 E465364 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: Nefza | Statement: [Jendouba Governorate, hasTown, Nefza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nefza
Context triple: [Jendouba Governorate, hasTown, Nefza]
  • A. Nefza
    Nefza is a town in northwestern Tunisia known for its forests, lakes, and proximity to the Mediterranean coast within the Béja Governorate.
  • B. Nafada
    Nafada is a town and administrative local government area in northeastern Nigeria known for its location within Gombe State.
  • C. Molazzana
    Molazzana is a small municipality in Tuscany, central Italy, known for its scenic location in the Garfagnana area of the Apennine mountains.
  • D. Safi
    Safi is a historic Moroccan port city on the Atlantic coast known for its fishing industry, ceramics, and Portuguese-era fortifications.
  • E. Safi
    Safi is a Pashtun tribe associated with the Karlani tribal confederation in Afghanistan and Pakistan.
  • 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: Nefza
Triple: [Jendouba Governorate, hasTown, Nefza]
Generated description
Nefza is a town in northwestern Tunisia known for its forests, lakes, and proximity to the Mediterranean coast.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nefza
Target entity description: Nefza is a town in northwestern Tunisia known for its forests, lakes, and proximity to the Mediterranean coast.
  • A. Nefza chosen
    Nefza is a town in northwestern Tunisia known for its forests, lakes, and proximity to the Mediterranean coast within the Béja Governorate.
  • B. Nafada
    Nafada is a town and administrative local government area in northeastern Nigeria known for its location within Gombe State.
  • C. Molazzana
    Molazzana is a small municipality in Tuscany, central Italy, known for its scenic location in the Garfagnana area of the Apennine mountains.
  • D. Safi
    Safi is a historic Moroccan port city on the Atlantic coast known for its fishing industry, ceramics, and Portuguese-era fortifications.
  • E. Safi
    Safi is a Pashtun tribe associated with the Karlani tribal confederation in Afghanistan and Pakistan.
  • F. None of above.

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_69d8dd025c188190a1d81f5b4ec7e2c6 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d6db04fc819094709f223e30a526 completed April 20, 2026, 7:33 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05be504c248190ac0aeea678ea5c67 completed May 14, 2026, 12:21 p.m.
NEDg Description generation batch_6a05bf8691f08190baa0e97f588973cb completed May 14, 2026, 12:26 p.m.
NED2 Entity disambiguation (via description) batch_6a05bff32d088190b60ecf78f97848b9 completed May 14, 2026, 12:28 p.m.
Created at: April 10, 2026, 12:02 p.m.