Triple

T26120276
Position Surface form Disambiguated ID Type / Status
Subject Rathkeale E658944 entity
Predicate formerlyHadTransport P101439 FINISHED
Object Rathkeale railway station
Rathkeale railway station was a former rail stop that served the town of Rathkeale in County Limerick, Ireland, during the era of regional railway transport.
 E1711851 NE FINISHED

How this triple was built (3 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: Rathkeale railway station | Statement: [Rathkeale, formerlyHadTransport, Rathkeale railway station]
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: Rathkeale railway station
Triple: [Rathkeale, formerlyHadTransport, Rathkeale railway station]
Generated description
Rathkeale railway station was a former rail stop that served the town of Rathkeale in County Limerick, Ireland, during the era of regional railway transport.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: formerlyHadTransport
Context triple: [Rathkeale, formerlyHadTransport, Rathkeale railway station]
  • A. formerTransport chosen
    Indicates that an entity previously served as a means of transportation for another entity but no longer does so.
  • B. previousTransport
    Indicates that one entity served as the immediately preceding mode or instance of transport for another entity in a sequence of movements or journeys.
  • C. usedAsVehicleFor
    Indicates that one entity functions as a means of transportation or conveyance for another entity.
  • D. hasTransportationAbove
    Indicates that one entity provides or has transportation infrastructure or services located above another entity (e.g., elevated roads, railways, or transit lines).
  • E. hasFormerDriver
    Indicates that an entity previously served as a driver for another entity but no longer holds that role.
  • F. None of above.

Provenance (6 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_69ee5bc2b2948190b458ad3f580af779 completed April 26, 2026, 6:38 p.m.
NER Named-entity recognition batch_69f760a35b988190904e6267553ad2fe completed May 3, 2026, 2:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a112757c8048190afe8a27a42956a18 completed May 23, 2026, 4:04 a.m.
NEDg Description generation batch_6a114d41451c8190b885b39c66b01460 completed May 23, 2026, 6:46 a.m.
NED2 Entity disambiguation (via description) batch_6a114e49bc2081909689bf91d3d0eef1 completed May 23, 2026, 6:50 a.m.
PD Predicate disambiguation batch_69f75eb3d6f081908c933474eb359e3d completed May 3, 2026, 2:41 p.m.
Created at: April 26, 2026, 8:08 p.m.