Triple

T4821608
Position Surface form Disambiguated ID Type / Status
Subject Portsmouth & Southsea railway station E107721 entity
Predicate stationCode P1289 FINISHED
Object PMS
PMS is the National Rail station code for Portsmouth & Southsea railway station in Portsmouth, England.
 E472594 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: PMS | Statement: [Portsmouth & Southsea railway station, stationCode, PMS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PMS
Context triple: [Portsmouth & Southsea railway station, stationCode, PMS]
  • A. Catamenia
    Catamenia is a small genus of South American seed-eating birds known as ground-tyrants or seedeaters within the tanager family.
  • B. PMA
    PMA is an abbreviation commonly used for the U.S. Department of Agriculture’s former Production and Marketing Administration, which managed agricultural production and commodity marketing programs.
  • C. PMA
    PMA is the station code for Portimão railway station in Portugal’s Algarve region.
  • D. HRT
    HRT is the FBI’s elite tactical unit specializing in high-risk hostage rescue, counterterrorism, and other critical law enforcement operations.
  • E. HRT
    HRT is the standard region code used to represent Hertfordshire, a county in southern England.
  • 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: PMS
Triple: [Portsmouth & Southsea railway station, stationCode, PMS]
Generated description
PMS is the National Rail station code for Portsmouth & Southsea railway station in Portsmouth, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PMS
Target entity description: PMS is the National Rail station code for Portsmouth & Southsea railway station in Portsmouth, England.
  • A. Catamenia
    Catamenia is a small genus of South American seed-eating birds known as ground-tyrants or seedeaters within the tanager family.
  • B. PMA
    PMA is an abbreviation commonly used for the U.S. Department of Agriculture’s former Production and Marketing Administration, which managed agricultural production and commodity marketing programs.
  • C. PMA
    PMA is the station code for Portimão railway station in Portugal’s Algarve region.
  • D. HRT
    HRT is the FBI’s elite tactical unit specializing in high-risk hostage rescue, counterterrorism, and other critical law enforcement operations.
  • E. HRT
    HRT is the standard region code used to represent Hertfordshire, a county in southern England.
  • 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_69bd43f9efa081908314cb3e94fa1695 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6c99b46c8190b6fbcf9f98b9e993 completed March 20, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4dc3cf5c8190bcd6ef039bab9878 completed March 21, 2026, 7:50 a.m.
NEDg Description generation batch_69be4e8385e08190a46b1e129234c884 completed March 21, 2026, 7:53 a.m.
NED2 Entity disambiguation (via description) batch_69be4f27f5a48190b639c9212e46f21d completed March 21, 2026, 7:56 a.m.
Created at: March 20, 2026, 1:24 p.m.