Triple

T14686343
Position Surface form Disambiguated ID Type / Status
Subject Green Square railway station E344916 entity
Predicate hasStationCode P1289 FINISHED
Object GSQ
GSQ is the station code for Green Square railway station, a key suburban train stop in Sydney, Australia.
 E1113931 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: GSQ | Statement: [Green Square railway station, hasStationCode, GSQ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GSQ
Context triple: [Green Square railway station, hasStationCode, GSQ]
  • A. CSQG
    CSQG was the official abbreviation for the National Police force of South Vietnam, responsible for internal security and law enforcement during the existence of the Republic of Vietnam.
  • B. GS
    GS is the two-letter ISO 3166 country code assigned to the British Overseas Territory of South Georgia and the South Sandwich Islands in the southern Atlantic Ocean.
  • C. GS
    GS is the New York Stock Exchange ticker symbol for Goldman Sachs, a leading global investment banking, securities, and asset management firm.
  • D. GS
    GS is the vehicle registration code used on license plates for the town of Gospić in Croatia.
  • E. GS
    GS is the vehicle registration code used on license plates for the district of Goslar in Lower Saxony, Germany.
  • 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: GSQ
Triple: [Green Square railway station, hasStationCode, GSQ]
Generated description
GSQ is the station code for Green Square railway station, a key suburban train stop in Sydney, Australia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GSQ
Target entity description: GSQ is the station code for Green Square railway station, a key suburban train stop in Sydney, Australia.
  • A. CSQG
    CSQG was the official abbreviation for the National Police force of South Vietnam, responsible for internal security and law enforcement during the existence of the Republic of Vietnam.
  • B. GS
    GS is the two-letter ISO 3166 country code assigned to the British Overseas Territory of South Georgia and the South Sandwich Islands in the southern Atlantic Ocean.
  • C. GS
    GS is the New York Stock Exchange ticker symbol for Goldman Sachs, a leading global investment banking, securities, and asset management firm.
  • D. GS
    GS is the vehicle registration code used on license plates for the town of Gospić in Croatia.
  • E. GS
    GS is the vehicle registration code used on license plates for the district of Goslar in Lower Saxony, Germany.
  • 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_69d822e34b348190ada4d1cdb6c7c226 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb58306548190b981956a83a84b95 completed April 14, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fde1876fdc81908a4fe3deebb7ff83 completed May 8, 2026, 1:13 p.m.
NEDg Description generation batch_69fde6c7a8ac8190a80b6c6ed0b5b157 completed May 8, 2026, 1:36 p.m.
NED2 Entity disambiguation (via description) batch_69fde73ca1dc8190b7fc13d7ffb6daf4 completed May 8, 2026, 1:38 p.m.
Created at: April 10, 2026, 1:28 a.m.