Triple

T37631132
Position Surface form Disambiguated ID Type / Status
Subject Żabbar E936349 entity
Predicate locatedIn P40 FINISHED
Object South Eastern Region of Malta
The South Eastern Region of Malta is an administrative region on the island of Malta that includes several towns and local councils, such as Żabbar, and encompasses part of the island’s southeastern coastal and inland areas.
E2283871 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: South Eastern Region of Malta | Statement: [Żabbar, locatedIn, South Eastern Region of Malta]
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: South Eastern Region of Malta
Triple: [Żabbar, locatedIn, South Eastern Region of Malta]
Generated description
The South Eastern Region of Malta is an administrative region on the island of Malta that includes several towns and local councils, such as Żabbar, and encompasses part of the island’s southeastern coastal and inland areas.

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_69f76ed24820819081bafd36e9088701 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fba95ade0481908ccda93977c0db58 completed May 6, 2026, 8:49 p.m.
NED1 Entity disambiguation (via context triple) batch_6a43011fa5b0819080146bf94c3d4ee4 completed June 29, 2026, 11:34 p.m.
NEDg Description generation batch_6a430257d1588190918db495353b9601 completed June 29, 2026, 11:40 p.m.
NED2 Entity disambiguation (via description) batch_6a430639d324819080e603913c283600 completed June 29, 2026, 11:56 p.m.
Created at: May 3, 2026, 4:18 p.m.