Triple

T15805225
Position Surface form Disambiguated ID Type / Status
Subject Sloane Square Underground station E383197 entity
Predicate stationCode P1289 FINISHED
Object SLO E950208 NE FINISHED

How this triple was built (2 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: SLO | Statement: [Sloane Square Underground station, stationCode, SLO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SLO
Context triple: [Sloane Square Underground station, stationCode, SLO]
  • A. SLO
    SLO is the three-letter International Olympic Committee country code representing Slovenia in Olympic competitions.
  • B. SLO
    SLO is a common abbreviation for San Luis Obispo, a small coastal city in California known for its historic mission, vibrant downtown, and proximity to beaches and wine country.
  • C. SLO chosen
    SLO is the National Rail station code for Slough railway station in Berkshire, England.
  • D. Slocene
    Slocene is a river in Latvia that serves as one of the tributaries feeding into the larger Lielupe River system.
  • E. San Jo
    San Jo is an informal nickname commonly used to refer to the city of San Jose, California.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d86da2858c819090cc8481e7207b6e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0b525b1c08190acffab06d89dbdbe completed April 16, 2026, 10:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff998d17648190b9f020632461965f completed May 9, 2026, 8:31 p.m.
Created at: April 10, 2026, 4:48 a.m.