Triple

T3529324
Position Surface form Disambiguated ID Type / Status
Subject St. Patrick station E74618 entity
Predicate code P1537 FINISHED
Object STPA
STPA is the station code for St. Patrick station, a public transit stop in Toronto's subway system.
 E365773 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: STPA | Statement: [St. Patrick station, code, STPA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: STPA
Context triple: [St. Patrick station, code, STPA]
  • A. STA
    STA is the vehicle registration code for the district of Starnberg in Bavaria, Germany.
  • B. STBP
    STBP is the acronym for the Stop TB Partnership, a global coalition dedicated to ending tuberculosis as a public health problem.
  • C. CAPA
    CAPA is a regional body that brings together Anglican provinces across the Americas and the Caribbean for coordination, fellowship, and joint mission.
  • D. STP
    STP is the three-letter ISO 3166-1 alpha-3 country code for São Tomé and Príncipe, an island nation in the Gulf of Guinea off Central Africa.
  • E. STP
    STP is the three-letter station code used to identify St Paul’s Underground station on the London Underground network.
  • 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: STPA
Triple: [St. Patrick station, code, STPA]
Generated description
STPA is the station code for St. Patrick station, a public transit stop in Toronto's subway system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: STPA
Target entity description: STPA is the station code for St. Patrick station, a public transit stop in Toronto's subway system.
  • A. STA
    STA is the vehicle registration code for the district of Starnberg in Bavaria, Germany.
  • B. STBP
    STBP is the acronym for the Stop TB Partnership, a global coalition dedicated to ending tuberculosis as a public health problem.
  • C. CAPA
    CAPA is a regional body that brings together Anglican provinces across the Americas and the Caribbean for coordination, fellowship, and joint mission.
  • D. STP
    STP is the three-letter ISO 3166-1 alpha-3 country code for São Tomé and Príncipe, an island nation in the Gulf of Guinea off Central Africa.
  • E. STP
    STP is the three-letter station code used to identify St Paul’s Underground station on the London Underground network.
  • 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_69ad85d1a3948190931fd1ea1f49717b completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc6e9188819093480b39f263ce75 completed March 8, 2026, 6:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69b37e93c1988190a9ab7698bf63e8e6 completed March 13, 2026, 3:03 a.m.
NEDg Description generation batch_69b380a6b6ec8190be0741cb9535b650 completed March 13, 2026, 3:12 a.m.
NED2 Entity disambiguation (via description) batch_69b3812927e48190a84f3c7fa55d070a completed March 13, 2026, 3:14 a.m.
Created at: March 8, 2026, 3:19 p.m.