Triple

T2634399
Position Surface form Disambiguated ID Type / Status
Subject Travelcard E59709 entity
Predicate coversZone P19200 FINISHED
Object Zone 5
Zone 5 is an outer fare zone in the London public transport system used for calculating ticket and Travelcard prices.
 E283354 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: Zone 5 | Statement: [Travelcard, coversZone, Zone 5]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zone 5
Context triple: [Travelcard, coversZone, Zone 5]
  • A. Zone 1
    Zone 1 is the central London public transport fare zone that covers the city’s main commercial, tourist, and historic areas.
  • B. Zone 1A
    Zone 1A is a central MBTA subway fare zone in Boston that includes Park Street station and other core downtown stops.
  • C. Himmelbett zone
    The Himmelbett zone was a radar-directed night air defense sector used by the German Luftwaffe in World War II to intercept Allied bombers.
  • D. Torrid Zone
    Torrid Zone is the region of Earth surrounding the equator between the Tropic of Cancer and the Tropic of Capricorn, characterized by consistently high temperatures and a tropical climate.
  • E. Fifth Industrial Zone
    The Fifth Industrial Zone is a designated manufacturing and industrial district within Egypt’s 6th of October City, hosting a variety of factories and production facilities.
  • 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: Zone 5
Triple: [Travelcard, coversZone, Zone 5]
Generated description
Zone 5 is an outer fare zone in the London public transport system used for calculating ticket and Travelcard prices.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zone 5
Target entity description: Zone 5 is an outer fare zone in the London public transport system used for calculating ticket and Travelcard prices.
  • A. Zone 1
    Zone 1 is the central London public transport fare zone that covers the city’s main commercial, tourist, and historic areas.
  • B. Zone 1A
    Zone 1A is a central MBTA subway fare zone in Boston that includes Park Street station and other core downtown stops.
  • C. Himmelbett zone
    The Himmelbett zone was a radar-directed night air defense sector used by the German Luftwaffe in World War II to intercept Allied bombers.
  • D. Torrid Zone
    Torrid Zone is the region of Earth surrounding the equator between the Tropic of Cancer and the Tropic of Capricorn, characterized by consistently high temperatures and a tropical climate.
  • E. Fifth Industrial Zone
    The Fifth Industrial Zone is a designated manufacturing and industrial district within Egypt’s 6th of October City, hosting a variety of factories and production facilities.
  • 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_69ab4ac8596c8190b34997e73d9e991c completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abdd1ca0248190aa15f80b2798524e completed March 7, 2026, 8:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69af90ac94d48190b3138abac9934ec8 completed March 10, 2026, 3:31 a.m.
NEDg Description generation batch_69af91625bd481908d3666af3cd3733f completed March 10, 2026, 3:34 a.m.
NED2 Entity disambiguation (via description) batch_69af91f9e1208190aa149c9afc84911c completed March 10, 2026, 3:37 a.m.
Created at: March 6, 2026, 9:50 p.m.