Triple

T8126255
Position Surface form Disambiguated ID Type / Status
Subject Upper Norwood E189736 entity
Predicate postalDistrict P920 FINISHED
Object SE19
SE19 is a London postal district covering parts of Upper Norwood and surrounding areas in south-east London.
 E713803 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: SE19 | Statement: [Upper Norwood, postalDistrict, SE19]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SE19
Context triple: [Upper Norwood, postalDistrict, SE19]
  • A. S91
    S91 is a Staten Island local bus route in New York City that provides public transit service through neighborhoods including New Springville.
  • B. SETE
    SETE is the company responsible for operating and managing the Eiffel Tower in Paris.
  • C. SEEL
    SEEL is the abbreviation for the Space Environmental Effects Laboratory, a facility focused on studying how the space environment impacts materials and systems.
  • D. SEV
    SEV is the National Rail station code for Sevenoaks railway station in Kent, England.
  • E. S89
    S89 is a Staten Island bus route in New York City that provides local transit service connecting New Springville with other parts of the borough.
  • 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: SE19
Triple: [Upper Norwood, postalDistrict, SE19]
Generated description
SE19 is a London postal district covering parts of Upper Norwood and surrounding areas in south-east London.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SE19
Target entity description: SE19 is a London postal district covering parts of Upper Norwood and surrounding areas in south-east London.
  • A. S91
    S91 is a Staten Island local bus route in New York City that provides public transit service through neighborhoods including New Springville.
  • B. SETE
    SETE is the company responsible for operating and managing the Eiffel Tower in Paris.
  • C. SEEL
    SEEL is the abbreviation for the Space Environmental Effects Laboratory, a facility focused on studying how the space environment impacts materials and systems.
  • D. SEV
    SEV is the National Rail station code for Sevenoaks railway station in Kent, England.
  • E. S89
    S89 is a Staten Island bus route in New York City that provides local transit service connecting New Springville with other parts of the borough.
  • 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_69ca82bb74848190afb1f18640632c10 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb438eb778819085296e6cbfa2e70d completed March 31, 2026, 3:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc946b44d08190a042932ee908dc2f completed April 1, 2026, 3:43 a.m.
NEDg Description generation batch_69cc95c0b19881908521cce5ac0fe197 completed April 1, 2026, 3:49 a.m.
NED2 Entity disambiguation (via description) batch_69cc970698f88190a0869515904e50e3 completed April 1, 2026, 3:54 a.m.
Created at: March 30, 2026, 5:34 p.m.