Triple

T16507731
Position Surface form Disambiguated ID Type / Status
Subject Pimlico Underground station E400974 entity
Predicate hasStationCode P1289 FINISHED
Object PIM
PIM is the three-letter station code used by Transport for London to identify Pimlico Underground station on the Victoria line.
 E1217289 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: PIM | Statement: [Pimlico Underground station, hasStationCode, PIM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PIM
Context triple: [Pimlico Underground station, hasStationCode, PIM]
  • A. PIM
    PIM is a global consortium of leading business schools that collaborate to promote international management education and student exchanges.
  • B. PIP
    PIP is a UK welfare benefit that helps disabled people or those with long-term health conditions cover the extra costs of daily living and mobility.
  • C. PIP
    PIP is a Puerto Rican political party that advocates for the island’s full independence from the United States.
  • D. PIF
    PIF is Saudi Arabia’s sovereign wealth fund, one of the world’s largest state-owned investment funds, financing major domestic and international projects to diversify the kingdom’s economy.
  • E. PIF
    PIF is a regional intergovernmental organization that brings together Pacific island countries and territories to cooperate on political, economic, and security issues.
  • 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: PIM
Triple: [Pimlico Underground station, hasStationCode, PIM]
Generated description
PIM is the three-letter station code used by Transport for London to identify Pimlico Underground station on the Victoria line.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PIM
Target entity description: PIM is the three-letter station code used by Transport for London to identify Pimlico Underground station on the Victoria line.
  • A. PIM
    PIM is a global consortium of leading business schools that collaborate to promote international management education and student exchanges.
  • B. PIP
    PIP is a UK welfare benefit that helps disabled people or those with long-term health conditions cover the extra costs of daily living and mobility.
  • C. PIP
    PIP is a Puerto Rican political party that advocates for the island’s full independence from the United States.
  • D. PIF
    PIF is a regional intergovernmental organization that brings together Pacific island countries and territories to cooperate on political, economic, and security issues.
  • E. PIF
    PIF is Saudi Arabia’s sovereign wealth fund, one of the world’s largest state-owned investment funds, financing major domestic and international projects to diversify the kingdom’s economy.
  • 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_69d88381f6148190819958a038be990e completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e536e5c8190bef31ab979d2880a completed April 18, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a005832bcb48190a905ee7c9bff2c5b completed May 10, 2026, 10:04 a.m.
NEDg Description generation batch_6a0059126e588190b531c145f3c155b4 completed May 10, 2026, 10:08 a.m.
NED2 Entity disambiguation (via description) batch_6a0059b5a1f8819089caefc121246739 completed May 10, 2026, 10:11 a.m.
Created at: April 10, 2026, 5:14 a.m.