Triple

T3091627
Position Surface form Disambiguated ID Type / Status
Subject Notting Hill Gate Underground station E64494 entity
Predicate hasStationCode P1289 FINISHED
Object ZNG
ZNG is the three-letter station code used to identify Notting Hill Gate Underground station on the London Underground network.
 E328305 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: ZNG | Statement: [Notting Hill Gate Underground station, hasStationCode, ZNG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ZNG
Context triple: [Notting Hill Gate Underground station, hasStationCode, ZNG]
  • A. ZG
    ZG is the vehicle registration code used on license plates for the city of Zagreb, the capital of Croatia.
  • B. ZWN
    ZWN is a former currency code used to denote an early version of the Zimbabwean dollar in international financial and foreign exchange contexts.
  • C. ZA
    ZA is the ISO 3166-1 alpha-2 country code for South Africa.
  • D. ZH
    ZH is the official vehicle registration code used for the Swiss canton of Zurich.
  • E. ZWL
    ZWL is the currency code for the reintroduced Zimbabwean dollar used in Zimbabwe’s monetary system.
  • 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: ZNG
Triple: [Notting Hill Gate Underground station, hasStationCode, ZNG]
Generated description
ZNG is the three-letter station code used to identify Notting Hill Gate Underground station on the London Underground network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ZNG
Target entity description: ZNG is the three-letter station code used to identify Notting Hill Gate Underground station on the London Underground network.
  • A. ZG
    ZG is the vehicle registration code used on license plates for the city of Zagreb, the capital of Croatia.
  • B. ZWN
    ZWN is a former currency code used to denote an early version of the Zimbabwean dollar in international financial and foreign exchange contexts.
  • C. ZA
    ZA is the ISO 3166-1 alpha-2 country code for South Africa.
  • D. ZH
    ZH is the official vehicle registration code used for the Swiss canton of Zurich.
  • E. ZWL
    ZWL is the currency code for the reintroduced Zimbabwean dollar used in Zimbabwe’s monetary system.
  • 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_69ad857c97d88190b26f9b1c90839c77 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada20eeee88190a5eecfce10e3848c completed March 8, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20364f8ac8190898b2aef195eb85f completed March 12, 2026, 12:05 a.m.
NEDg Description generation batch_69b207d7771c8190974bba03a63295c1 completed March 12, 2026, 12:24 a.m.
NED2 Entity disambiguation (via description) batch_69b20bc77c188190aa5c412cf9a9f914 completed March 12, 2026, 12:41 a.m.
Created at: March 8, 2026, 3:03 p.m.