Triple

T3385574
Position Surface form Disambiguated ID Type / Status
Subject St Paul’s Underground station E71292 entity
Predicate stationCode P1289 FINISHED
Object STP
STP is the three-letter station code used to identify St Paul’s Underground station on the London Underground network.
 E352869 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: STP | Statement: [St Paul’s Underground station, stationCode, STP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: STP
Context triple: [St Paul’s Underground station, stationCode, STP]
  • A. 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.
  • B. STP-2
    STP-2 was a U.S. Department of Defense Space Test Program mission that used a SpaceX Falcon Heavy rocket to deploy multiple experimental and technology demonstration payloads into orbit.
  • C. STP-27VP
    STP-27VP was a U.S. Department of Defense satellite mission launched by Virgin Orbit’s LauncherOne rocket as part of its early operational demonstration flights.
  • D. STPF
    STPF is a prestigious fellowship program that places scientists and engineers in U.S. government roles to inform and shape science and technology policy.
  • E. STBP
    STBP is the acronym for the Stop TB Partnership, a global coalition dedicated to ending tuberculosis as a public health problem.
  • 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: STP
Triple: [St Paul’s Underground station, stationCode, STP]
Generated description
STP is the three-letter station code used to identify St Paul’s Underground station on the London Underground network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: STP
Target entity description: STP is the three-letter station code used to identify St Paul’s Underground station on the London Underground network.
  • A. 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.
  • B. STP-2
    STP-2 was a U.S. Department of Defense Space Test Program mission that used a SpaceX Falcon Heavy rocket to deploy multiple experimental and technology demonstration payloads into orbit.
  • C. STP-27VP
    STP-27VP was a U.S. Department of Defense satellite mission launched by Virgin Orbit’s LauncherOne rocket as part of its early operational demonstration flights.
  • D. STPF
    STPF is a prestigious fellowship program that places scientists and engineers in U.S. government roles to inform and shape science and technology policy.
  • E. STBP
    STBP is the acronym for the Stop TB Partnership, a global coalition dedicated to ending tuberculosis as a public health problem.
  • 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_69ad85a8fd9c819095ecedf838d2bf1b completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb5ee5e188190912dcea494a12038 completed March 8, 2026, 5:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b33455ae2481908e6478cb240b31c1 completed March 12, 2026, 9:47 p.m.
NEDg Description generation batch_69b334f75e708190aed8b388c9ea55d2 completed March 12, 2026, 9:49 p.m.
NED2 Entity disambiguation (via description) batch_69b3359ab56881908e247ba54c7dd6c7 completed March 12, 2026, 9:52 p.m.
Created at: March 8, 2026, 3:14 p.m.