Triple

T20172767
Position Surface form Disambiguated ID Type / Status
Subject Westferry Road E492008 entity
Predicate hasBusRoute P39381 FINISHED
Object N550
N550 is a London night bus route that operates between central London and outer areas, serving stops along Westferry Road.
E1415428 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: N550 | Statement: [Westferry Road, hasBusRoute, N550]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: N550
Context triple: [Westferry Road, hasBusRoute, N550]
  • A. N-55
    N-55 is a major national highway in Pakistan that runs along the Indus River, connecting key cities in the country’s north–south transport corridor.
  • B. N59
    N59 is a regional road in the Netherlands that connects the island of Schouwen-Duiveland, including the town of Zierikzee, with the broader Dutch road network.
  • C. N85
    N85 is a historic French road known as the Route Napoléon, tracing Napoleon Bonaparte’s 1815 march from the Mediterranean coast toward Grenoble through the Alps.
  • D. N75
    The N75 is a Nokia clamshell smartphone from the mid-2000s that ran the Symbian S60 platform and offered multimedia and 3G capabilities.
  • E. N-50
    N-50 is a national highway in Pakistan that serves as a key route connecting parts of Khyber Pakhtunkhwa and Balochistan, facilitating regional trade and travel.
  • 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: N550
Triple: [Westferry Road, hasBusRoute, N550]
Generated description
N550 is a London night bus route that operates between central London and outer areas, serving stops along Westferry Road.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: N550
Target entity description: N550 is a London night bus route that operates between central London and outer areas, serving stops along Westferry Road.
  • A. N-55
    N-55 is a major national highway in Pakistan that runs along the Indus River, connecting key cities in the country’s north–south transport corridor.
  • B. N59
    N59 is a regional road in the Netherlands that connects the island of Schouwen-Duiveland, including the town of Zierikzee, with the broader Dutch road network.
  • C. N85
    N85 is a historic French road known as the Route Napoléon, tracing Napoleon Bonaparte’s 1815 march from the Mediterranean coast toward Grenoble through the Alps.
  • D. N75
    The N75 is a Nokia clamshell smartphone from the mid-2000s that ran the Symbian S60 platform and offered multimedia and 3G capabilities.
  • E. N-50
    N-50 is a national highway in Pakistan that serves as a key route connecting parts of Khyber Pakhtunkhwa and Balochistan, facilitating regional trade and travel.
  • 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_69da6266c6888190bc1a3ecf24814d34 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e66849709c81909b65b421282f9f3b completed April 20, 2026, 5:54 p.m.
NED1 Entity disambiguation (via context triple) batch_6a083484eaa4819083462003ba5a78b0 completed May 16, 2026, 9:10 a.m.
NEDg Description generation batch_6a083851ccf081909de87d5070e969f9 completed May 16, 2026, 9:26 a.m.
NED2 Entity disambiguation (via description) batch_6a0838c3694c819097516c8de60864fb completed May 16, 2026, 9:28 a.m.
Created at: April 11, 2026, 11:35 p.m.