Triple

T33387152
Position Surface form Disambiguated ID Type / Status
Subject Falcarragh E854945 entity
Predicate formerRailwayStationName P109087 FINISHED
Object Falcarragh railway station
Falcarragh railway station was a former railway stop that served the town of Falcarragh in County Donegal, Ireland, during the era of regional rail transport.
 E2049843 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: Falcarragh railway station | Statement: [Falcarragh, formerRailwayStationName, Falcarragh 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: Falcarragh railway station
Triple: [Falcarragh, formerRailwayStationName, Falcarragh railway station]
Generated description
Falcarragh railway station was a former railway stop that served the town of Falcarragh in County Donegal, Ireland, during the era of regional rail transport.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: formerRailwayStationName
Context triple: [Falcarragh, formerRailwayStationName, Falcarragh railway station]
  • A. formerRailwayStation
    Indicates that a location previously functioned as a railway station but is no longer in active railway service.
  • B. railwayStationAlsoKnownAs chosen
    Indicates that a railway station is referred to by an alternative name or alias.
  • C. formerStationNameFor
    Indicates that one station name was previously used as the official name for another station.
  • D. hadRailwayStation
    Indicates that a place or area previously possessed a railway station, which may no longer be in existence or operation.
  • E. originalRailroadTerminalReplaced
    Indicates that one railroad terminal has been superseded or taken the place of another as the primary terminal.
  • 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_69f3496d54048190a1cb91fdd7caa6ea completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69ffb97b8ff8819088b105d99a0820c9 completed May 9, 2026, 10:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3576ee0be48190b40ebc470ce28937 completed June 19, 2026, 5:05 p.m.
NEDg Description generation batch_6a35798096608190906a3fc52eeacf81 completed June 19, 2026, 5:16 p.m.
NED2 Entity disambiguation (via description) batch_6a3579ded3688190aafe32273dda186b completed June 19, 2026, 5:18 p.m.
PD Predicate disambiguation batch_69ffb88ef7388190a710120ed76edc0e completed May 9, 2026, 10:43 p.m.
Created at: May 1, 2026, 1:35 a.m.