Triple

T23569414
Position Surface form Disambiguated ID Type / Status
Subject Karmouz district of Alexandria E580060 entity
Predicate adjacentTo P224 FINISHED
Object Minet El Bassal district of Alexandria
Minet El Bassal is a historic coastal district of Alexandria, Egypt, known for its port-related activities and industrial and commercial facilities.
E1593709 NE FINISHED

How this triple was built (2 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: Minet El Bassal district of Alexandria | Statement: [Karmouz district of Alexandria, adjacentTo, Minet El Bassal district of Alexandria]
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: Minet El Bassal district of Alexandria
Triple: [Karmouz district of Alexandria, adjacentTo, Minet El Bassal district of Alexandria]
Generated description
Minet El Bassal is a historic coastal district of Alexandria, Egypt, known for its port-related activities and industrial and commercial facilities.

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_69e24601a9108190bc31e83833c980e4 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1afd15ca48190afd119ec1b4a07b2 completed April 29, 2026, 7:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f4567c7e88190b368fb68084f2e02 completed May 21, 2026, 5:48 p.m.
NEDg Description generation batch_6a0f4650e36881909899a551725e6df4 completed May 21, 2026, 5:52 p.m.
NED2 Entity disambiguation (via description) batch_6a0f479575a48190a63dd376b8fec617 completed May 21, 2026, 5:57 p.m.
Created at: April 17, 2026, 6:36 p.m.