Triple

T15335613
Position Surface form Disambiguated ID Type / Status
Subject Dakahlia Governorate E366655 entity
Predicate hasCity P316 FINISHED
Object Gehina
Gehina is a city located within Egypt’s Dakahlia Governorate in the Nile Delta region.
E1150842 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: Gehina | Statement: [Dakahlia Governorate, hasCity, Gehina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gehina
Context triple: [Dakahlia Governorate, hasCity, Gehina]
  • A. Malemort
    Malemort is a commune in the Corrèze department of south-central France, situated near the town of Brive-la-Gaillarde.
  • B. Tumba
    Tumba is a suburban locality in Stockholm County, Sweden, known for its residential areas and historical paper mill industry.
  • C. Obiaruku
    Obiaruku is a prominent town in Delta State, Nigeria, recognized as one of the key urban centers of the Anioma (Igbo-speaking) region.
  • D. Gravedona
    Gravedona is a picturesque town on the shores of Lake Como in northern Italy, known for its historic churches and scenic lakeside setting.
  • E. Toten
    Toten is a traditional rural district in eastern Norway known for its agriculture and scenic landscape, located within Innlandet county.
  • 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: Gehina
Triple: [Dakahlia Governorate, hasCity, Gehina]
Generated description
Gehina is a city located within Egypt’s Dakahlia Governorate in the Nile Delta region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gehina
Target entity description: Gehina is a city located within Egypt’s Dakahlia Governorate in the Nile Delta region.
  • A. Malemort
    Malemort is a commune in the Corrèze department of south-central France, situated near the town of Brive-la-Gaillarde.
  • B. Tumba
    Tumba is a suburban locality in Stockholm County, Sweden, known for its residential areas and historical paper mill industry.
  • C. Obiaruku
    Obiaruku is a prominent town in Delta State, Nigeria, recognized as one of the key urban centers of the Anioma (Igbo-speaking) region.
  • D. Gravedona
    Gravedona is a picturesque town on the shores of Lake Como in northern Italy, known for its historic churches and scenic lakeside setting.
  • E. Toten
    Toten is a traditional rural district in eastern Norway known for its agriculture and scenic landscape, located within Innlandet county.
  • 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_69d85a1355608190a6673ddb67231d54 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e03c5f081908e4d14dbdbc7f7a6 completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff01f11b88819089342e8b088bc95e completed May 9, 2026, 9:44 a.m.
NEDg Description generation batch_69ff02de46948190ac9b9f87313a8442 completed May 9, 2026, 9:48 a.m.
NED2 Entity disambiguation (via description) batch_69ff0341238c8190a7d0473ad9ab702c completed May 9, 2026, 9:49 a.m.
Created at: April 10, 2026, 3:17 a.m.