Triple

T8292538
Position Surface form Disambiguated ID Type / Status
Subject MBTA Commuter Rail fare zones E193934 entity
Predicate includesZone P6793 FINISHED
Object Zone 3
Zone 3 is one of the MBTA Commuter Rail’s outer fare zones used to set ticket prices for trips between Boston and its surrounding suburbs.
 E723508 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 3 | Statement: [MBTA Commuter Rail fare zones, includesZone, Zone 3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zone 3
Context triple: [MBTA Commuter Rail fare zones, includesZone, Zone 3]
  • A. Zone 5
    Zone 5 is an outer fare zone in the London public transport system used for calculating ticket and Travelcard prices.
  • 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. Zone 12
    Zone 12 is an outer Long Island Rail Road fare zone used for setting ticket prices to and from stations such as Mastic–Shirley.
  • D. 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.
  • E. Zone D
    Zone D is a designated commuter rail fare zone used to determine ticket prices for travel to and from Hinsdale station.
  • 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 3
Triple: [MBTA Commuter Rail fare zones, includesZone, Zone 3]
Generated description
Zone 3 is one of the MBTA Commuter Rail’s outer fare zones used to set ticket prices for trips between Boston and its surrounding suburbs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zone 3
Target entity description: Zone 3 is one of the MBTA Commuter Rail’s outer fare zones used to set ticket prices for trips between Boston and its surrounding suburbs.
  • A. Zone 5
    Zone 5 is an outer fare zone in the London public transport system used for calculating ticket and Travelcard prices.
  • 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. Zone 12
    Zone 12 is an outer Long Island Rail Road fare zone used for setting ticket prices to and from stations such as Mastic–Shirley.
  • D. 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.
  • E. Zone D
    Zone D is a designated commuter rail fare zone used to determine ticket prices for travel to and from Hinsdale station.
  • 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_69ca82e32db481908b72f3804fa71152 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cbd11ed22c819082bf036602eaa038 completed March 31, 2026, 1:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69cd6899b818819090c80a8eba7d5d4c completed April 1, 2026, 6:48 p.m.
NEDg Description generation batch_69cd6d567c3c81908a7ec5bc13be529d completed April 1, 2026, 7:09 p.m.
NED2 Entity disambiguation (via description) batch_69cd7e3e2f848190a22ad8739bb8e298 completed April 1, 2026, 8:21 p.m.
Created at: March 30, 2026, 5:52 p.m.