Triple

T6039835
Position Surface form Disambiguated ID Type / Status
Subject Falkirk Grahamston railway station E134515 entity
Predicate hasStationCode P1289 FINISHED
Object FKG
FKG is the National Rail station code for Falkirk Grahamston railway station in Falkirk, Scotland.
 E564702 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: FKG | Statement: [Falkirk Grahamston railway station, hasStationCode, FKG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FKG
Context triple: [Falkirk Grahamston railway station, hasStationCode, FKG]
  • A. FKS
    FKS is the common abbreviation for FK Sarajevo, a professional football club based in Sarajevo, Bosnia and Herzegovina.
  • B. FhG
    FhG is the abbreviation for the Fraunhofer Society, a leading German organization for applied research and development.
  • C. FKP
    FKP is the ISO 4217 currency code for the Falkland Islands pound, the official currency of the Falkland Islands.
  • D. FK
    FK is the two-letter ISO 3166 country code assigned to the Falkland Islands, a British Overseas Territory in the South Atlantic Ocean.
  • E. FK
    FK is a postcode area in central Scotland that covers parts of Stirling, Falkirk, and surrounding regions.
  • 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: FKG
Triple: [Falkirk Grahamston railway station, hasStationCode, FKG]
Generated description
FKG is the National Rail station code for Falkirk Grahamston railway station in Falkirk, Scotland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FKG
Target entity description: FKG is the National Rail station code for Falkirk Grahamston railway station in Falkirk, Scotland.
  • A. FKS
    FKS is the common abbreviation for FK Sarajevo, a professional football club based in Sarajevo, Bosnia and Herzegovina.
  • B. FhG
    FhG is the abbreviation for the Fraunhofer Society, a leading German organization for applied research and development.
  • C. FKP
    FKP is the ISO 4217 currency code for the Falkland Islands pound, the official currency of the Falkland Islands.
  • D. FK
    FK is the two-letter ISO 3166 country code assigned to the Falkland Islands, a British Overseas Territory in the South Atlantic Ocean.
  • E. FK
    FK is a postcode area in central Scotland that covers parts of Stirling, Falkirk, and surrounding regions.
  • 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_69c00875db5c819099dd5bb833ec43c2 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c056ce10cc8190817ade56570adc92 completed March 22, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11393f4ec81909f175de55694b44e completed March 23, 2026, 10:19 a.m.
NEDg Description generation batch_69c11560824081909d1228056607a3bd completed March 23, 2026, 10:26 a.m.
NED2 Entity disambiguation (via description) batch_69c11607805c8190a9bc734479b1cb8d completed March 23, 2026, 10:29 a.m.
Created at: March 22, 2026, 4:08 p.m.