Triple

T9645975
Position Surface form Disambiguated ID Type / Status
Subject St Albans Abbey railway station E233195 entity
Predicate stationCode P1289 FINISHED
Object SAA
SAA is the National Rail station code for St Albans Abbey railway station in Hertfordshire, England.
 E812169 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: SAA | Statement: [St Albans Abbey railway station, stationCode, SAA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SAA
Context triple: [St Albans Abbey railway station, stationCode, SAA]
  • A. SAA
    The SAA is the main military force of the Syrian Arab Republic, responsible for land-based defense and combat operations.
  • B. SAA
    SAA is the ICAO airline designator for South African Airways, the flag carrier airline of South Africa.
  • C. SAAWK
    SAAWK is the abbreviation for the Suid-Afrikaanse Akademie vir Wetenskap en Kuns, a South African academy dedicated to promoting Afrikaans language, science, and the arts.
  • D. SSA
    SSA is a professional scientific organization dedicated to advancing the study and understanding of earthquakes and seismic phenomena.
  • E. SSA
    SSA is the commonly used acronym for Mexico’s federal Secretariat of Health, the government ministry responsible for national public health policy and services.
  • 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: SAA
Triple: [St Albans Abbey railway station, stationCode, SAA]
Generated description
SAA is the National Rail station code for St Albans Abbey railway station in Hertfordshire, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SAA
Target entity description: SAA is the National Rail station code for St Albans Abbey railway station in Hertfordshire, England.
  • A. SAA
    SAA is the ICAO airline designator for South African Airways, the flag carrier airline of South Africa.
  • B. SAA
    The SAA is the main military force of the Syrian Arab Republic, responsible for land-based defense and combat operations.
  • C. SAAWK
    SAAWK is the abbreviation for the Suid-Afrikaanse Akademie vir Wetenskap en Kuns, a South African academy dedicated to promoting Afrikaans language, science, and the arts.
  • D. SSA
    SSA is a professional scientific organization dedicated to advancing the study and understanding of earthquakes and seismic phenomena.
  • E. SSA
    SSA is the commonly used acronym for Mexico’s federal Secretariat of Health, the government ministry responsible for national public health policy and services.
  • 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_69ca848b31648190b57aa55da20285be completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9b8122148190bd0af3a04b21e53e completed April 1, 2026, 10:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18258489081909f0b328e223777fc completed April 4, 2026, 9:27 p.m.
NEDg Description generation batch_69d1842a39ac8190a43323c29316df08 completed April 4, 2026, 9:35 p.m.
NED2 Entity disambiguation (via description) batch_69d1849df0a481908777fa263fe8bd10 completed April 4, 2026, 9:37 p.m.
Created at: March 30, 2026, 8:12 p.m.