Triple

T24178199
Position Surface form Disambiguated ID Type / Status
Subject Ministry of Transport, Communications and Works of Cyprus E599340 entity
Predicate oversees P46 FINISHED
Object Cyprus ports
Cyprus ports are the main maritime gateways of the Republic of Cyprus, handling the island’s international cargo and passenger traffic and supporting its shipping, trade, and tourism sectors.
E1620027 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: Cyprus ports | Statement: [Ministry of Transport, Communications and Works of Cyprus, oversees, Cyprus ports]
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: Cyprus ports
Triple: [Ministry of Transport, Communications and Works of Cyprus, oversees, Cyprus ports]
Generated description
Cyprus ports are the main maritime gateways of the Republic of Cyprus, handling the island’s international cargo and passenger traffic and supporting its shipping, trade, and tourism sectors.

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_69e288cca05481908faeb1563711114a completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f1e1d324dc8190a118638e8370576a completed April 29, 2026, 10:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0fad4119c4819084b2e7c1c7120f96 completed May 22, 2026, 1:11 a.m.
NEDg Description generation batch_6a0fae2e5188819084da9d0a77697c72 completed May 22, 2026, 1:15 a.m.
NED2 Entity disambiguation (via description) batch_6a0faecda22881909d9617138ceca0d9 completed May 22, 2026, 1:18 a.m.
Created at: April 17, 2026, 11:34 p.m.