Triple

T7180910
Position Surface form Disambiguated ID Type / Status
Subject Jijel Province E167443 entity
Predicate hasSettlement P1068 FINISHED
Object Texenna
Texenna is a town and commune located in northeastern Algeria within Jijel Province.
E647230 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: Texenna | Statement: [Jijel Province, hasSettlement, Texenna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Texenna
Context triple: [Jijel Province, hasSettlement, Texenna]
  • A. Tarichaea
    Tarichaea was an ancient fortified town on the western shore of the Sea of Galilee, known as a major center of Jewish resistance during the First Jewish–Roman War.
  • B. Naiche
    Naiche was the last hereditary chief of the Chiricahua Apache and a prominent leader during the final phase of the Apache resistance against the United States.
  • C. Oxlumo
    Oxlumo is an RNA interference (RNAi) therapeutic used to treat primary hyperoxaluria type 1 by reducing hepatic oxalate production.
  • D. Vacoas-Phoenix
    Vacoas-Phoenix is a major town in the Plaines Wilhems District of Mauritius, known as a key residential and administrative center on the island.
  • E. Atessa
    Atessa is a town and municipality in the Abruzzo region of central Italy, known for its industrial activity and automotive manufacturing facilities.
  • 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: Texenna
Triple: [Jijel Province, hasSettlement, Texenna]
Generated description
Texenna is a town and commune located in northeastern Algeria within Jijel Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Texenna
Target entity description: Texenna is a town and commune located in northeastern Algeria within Jijel Province.
  • A. Tarichaea
    Tarichaea was an ancient fortified town on the western shore of the Sea of Galilee, known as a major center of Jewish resistance during the First Jewish–Roman War.
  • B. Naiche
    Naiche was the last hereditary chief of the Chiricahua Apache and a prominent leader during the final phase of the Apache resistance against the United States.
  • C. Oxlumo
    Oxlumo is an RNA interference (RNAi) therapeutic used to treat primary hyperoxaluria type 1 by reducing hepatic oxalate production.
  • D. Vacoas-Phoenix
    Vacoas-Phoenix is a major town in the Plaines Wilhems District of Mauritius, known as a key residential and administrative center on the island.
  • E. Atessa
    Atessa is a town and municipality in the Abruzzo region of central Italy, known for its industrial activity and automotive manufacturing facilities.
  • 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_69c6888a7c548190a3d39b52a393080f completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e8ba91908190a9055d4e026b655c completed March 27, 2026, 8:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7b93d04ec8190ac5c5bf9ace7eca1 completed March 28, 2026, 11:19 a.m.
NEDg Description generation batch_69c7b9e55f84819099af471a65bb68aa completed March 28, 2026, 11:22 a.m.
NED2 Entity disambiguation (via description) batch_69c7ba9317548190946e21c2731d58a7 completed March 28, 2026, 11:25 a.m.
Created at: March 27, 2026, 2:49 p.m.