Triple

T4588110
Position Surface form Disambiguated ID Type / Status
Subject Tattenham Corner railway station E103417 entity
Predicate stationCode P1289 FINISHED
Object TAT
TAT is the National Rail station code for Tattenham Corner railway station in Surrey, England.
E455418 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: TAT | Statement: [Tattenham Corner railway station, stationCode, TAT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TAT
Context triple: [Tattenham Corner railway station, stationCode, TAT]
  • A. Tats
    The Tats are an Iranian-speaking ethnic group of the eastern Caucasus, primarily living in parts of Azerbaijan and southern Dagestan, with a distinct language and cultural traditions.
  • B. TAD
    TAD is the OECD’s Trade and Agriculture Directorate, which develops international policies and analysis on global trade, agriculture, and related economic issues.
  • C. TAD
    TAD is an acronym commonly used to refer to a Tax Allocation District, a designated area where future tax revenues are used to finance redevelopment and public improvements.
  • D. TATWG
    TATWG is a working group focused on providing technical assistance and training within its designated domain or organization.
  • E. TA
    TA is the standard abbreviation for *Transforming Anthropology*, a peer-reviewed academic journal focusing on critical and innovative scholarship in anthropology.
  • 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: TAT
Triple: [Tattenham Corner railway station, stationCode, TAT]
Generated description
TAT is the National Rail station code for Tattenham Corner railway station in Surrey, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: TAT
Target entity description: TAT is the National Rail station code for Tattenham Corner railway station in Surrey, England.
  • A. Tats
    The Tats are an Iranian-speaking ethnic group of the eastern Caucasus, primarily living in parts of Azerbaijan and southern Dagestan, with a distinct language and cultural traditions.
  • B. TAD
    TAD is the OECD’s Trade and Agriculture Directorate, which develops international policies and analysis on global trade, agriculture, and related economic issues.
  • C. TAD
    TAD is an acronym commonly used to refer to a Tax Allocation District, a designated area where future tax revenues are used to finance redevelopment and public improvements.
  • D. TATWG
    TATWG is a working group focused on providing technical assistance and training within its designated domain or organization.
  • E. TA
    TA is a common abbreviation for the Territorial Army, a volunteer reserve force that supports a country's regular armed forces.
  • 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_69bd43dccaf08190aa89e9991a289719 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd592115fc8190b1aee1d8bbaf1ee3 completed March 20, 2026, 2:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69bde0b9f700819082b0e5171132d0f3 completed March 21, 2026, 12:05 a.m.
NEDg Description generation batch_69bde31735a481909d005e6c44e2f114 completed March 21, 2026, 12:15 a.m.
NED2 Entity disambiguation (via description) batch_69bde6d185088190b94580f53038d883 completed March 21, 2026, 12:31 a.m.
Created at: March 20, 2026, 1:11 p.m.