Triple

T4429707
Position Surface form Disambiguated ID Type / Status
Subject Port Talbot Parkway railway station E95294 entity
Predicate hasStationCode P1289 FINISHED
Object PTA
PTA is the National Rail station code for Port Talbot Parkway railway station in Port Talbot, Wales.
E440890 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: PTA | Statement: [Port Talbot Parkway railway station, hasStationCode, PTA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PTA
Context triple: [Port Talbot Parkway railway station, hasStationCode, PTA]
  • A. PATA
    PATA is an older computer interface standard used to connect storage devices like hard drives and optical drives to a motherboard using parallel data transmission.
  • B. TPA
    TPA is an abbreviation commonly used for a Tri-Party Agreement, a legal contract involving three separate parties that defines their respective rights and obligations.
  • C. TPA
    TPA is the three-letter IATA airport code for Tampa International Airport, a major commercial airport serving the Tampa Bay area in Florida, USA.
  • D. PABT
    PABT is the main Port Authority Bus Terminal in Midtown Manhattan, serving as New York City’s primary hub for intercity and commuter bus transportation.
  • E. PTP
    PTP is a standardized protocol used to transfer digital images from cameras and other imaging devices to computers and other hosts.
  • 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: PTA
Triple: [Port Talbot Parkway railway station, hasStationCode, PTA]
Generated description
PTA is the National Rail station code for Port Talbot Parkway railway station in Port Talbot, Wales.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: PTA
Target entity description: PTA is the National Rail station code for Port Talbot Parkway railway station in Port Talbot, Wales.
  • A. PATA
    PATA is an older computer interface standard used to connect storage devices like hard drives and optical drives to a motherboard using parallel data transmission.
  • B. TPA
    TPA is an abbreviation commonly used for a Tri-Party Agreement, a legal contract involving three separate parties that defines their respective rights and obligations.
  • C. TPA
    TPA is the three-letter IATA airport code for Tampa International Airport, a major commercial airport serving the Tampa Bay area in Florida, USA.
  • D. PABT
    PABT is the main Port Authority Bus Terminal in Midtown Manhattan, serving as New York City’s primary hub for intercity and commuter bus transportation.
  • E. PTP
    PTP is a standardized protocol used to transfer digital images from cameras and other imaging devices to computers and other hosts.
  • 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_69b3453c2a0c8190926b574c90766db9 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35569b3388190bdef2568f5dc04ce completed March 13, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6136caa248190a84423cede1908c3 completed March 15, 2026, 2:03 a.m.
NEDg Description generation batch_69b617c13d4481909d22d201ce405d3a completed March 15, 2026, 2:21 a.m.
NED2 Entity disambiguation (via description) batch_69b6187687f8819084e2d611e9e31f79 completed March 15, 2026, 2:24 a.m.
Created at: March 12, 2026, 11:30 p.m.