Triple

T36587905
Position Surface form Disambiguated ID Type / Status
Subject Medway Bridge E902575 entity
Predicate isOnCorridor P1018 FINISHED
Object London–Channel Ports route
The London–Channel Ports route is a major transport corridor in southeast England linking the capital with key ferry and Channel Tunnel terminals on the English Channel coast.
 E2192695 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: London–Channel Ports route | Statement: [Medway Bridge, isOnCorridor, London–Channel Ports route]
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: London–Channel Ports route
Triple: [Medway Bridge, isOnCorridor, London–Channel Ports route]
Generated description
The London–Channel Ports route is a major transport corridor in southeast England linking the capital with key ferry and Channel Tunnel terminals on the English Channel coast.

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_69f76e6592e88190bac4eb00a46e9df9 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7c2d489b481909a08498ed30d7929 completed May 3, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3a095377508190a11726df9058c612 completed June 23, 2026, 4:19 a.m.
NEDg Description generation batch_6a3a100cdae48190a39a27982247e291 completed June 23, 2026, 4:48 a.m.
NED2 Entity disambiguation (via description) batch_6a3a13053de08190afaf25aedbdc0cbb completed June 23, 2026, 5 a.m.
Created at: May 3, 2026, 4:11 p.m.