Triple

T8292559
Position Surface form Disambiguated ID Type / Status
Subject MBTA Commuter Rail fare zones E193934 entity
Predicate hasSpecialZone P6793 FINISHED
Object Zone 1A E127549 NE FINISHED

How this triple was built (3 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 1A | Statement: [MBTA Commuter Rail fare zones, hasSpecialZone, Zone 1A]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zone 1A
Context triple: [MBTA Commuter Rail fare zones, hasSpecialZone, Zone 1A]
  • A. Zone 1A chosen
    Zone 1A is a central MBTA subway fare zone in Boston that includes Park Street station and other core downtown stops.
  • B. Zone 1
    Zone 1 is the central London public transport fare zone that covers the city’s main commercial, tourist, and historic areas.
  • C. Zona A
    Zona A was the Allied-administered western sector of the Free Territory of Trieste, encompassing the city of Trieste and surrounding areas after World War II.
  • D. Zone L (Guthrie classification)
    Zone L in the Guthrie classification is a group of closely related Bantu languages centered around Tshiluba and its dialects in south-central Africa.
  • E. Zone 5
    Zone 5 is an outer fare zone in the London public transport system used for calculating ticket and Travelcard prices.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSpecialZone
Context triple: [MBTA Commuter Rail fare zones, hasSpecialZone, Zone 1A]
  • A. hasZone chosen
    Indicates that one entity possesses, contains, or is associated with a specific zone or designated area.
  • B. hasDemilitarizedOrSpecialZones
    Indicates that there exist designated areas between or within territories where military presence or activities are restricted or specially regulated.
  • C. hasSpecial
    Indicates that an entity possesses or is associated with a distinctive or exceptional attribute, status, or feature compared to others.
  • D. hasSpecialRules
    Indicates that certain entities are governed by additional or exceptional rules that differ from the standard ones.
  • E. hasSpecialUnit
    Indicates that an entity possesses or is associated with a distinct, designated unit that has a special role, function, or status.
  • F. None of above.

Provenance (4 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_69ca82e32db481908b72f3804fa71152 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7c9ccbfc81908825685c23b80d23 completed March 31, 2026, 7:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd952e038c819090023cbcdab1e3ae completed April 1, 2026, 9:59 p.m.
PD Predicate disambiguation batch_69cb70b5b5348190b296e0ecec95de60 completed March 31, 2026, 6:59 a.m.
Created at: March 30, 2026, 5:52 p.m.