Triple

T10872601
Position Surface form Disambiguated ID Type / Status
Subject Young Nudy E256694 entity
Predicate notableSong P4 FINISHED
Object Zone 6
"Zone 6" is a popular track by Atlanta rapper Young Nudy that showcases his gritty street-centric style and regional identity.
 E890015 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 6 | Statement: [Young Nudy, notableSong, Zone 6]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zone 6
Context triple: [Young Nudy, notableSong, Zone 6]
  • 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 10
    Zone 10 is one of the outer fare zones on the MBTA Commuter Rail system, covering some of the more distant suburban stations from Boston.
  • C. 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.
  • D. Zone 3
    Zone 3 is one of the concentric public transport fare zones in the Île-de-France region surrounding central Paris.
  • E. 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.
  • 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 6
Triple: [Young Nudy, notableSong, Zone 6]
Generated description
"Zone 6" is a popular track by Atlanta rapper Young Nudy that showcases his gritty street-centric style and regional identity.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zone 6
Target entity description: "Zone 6" is a popular track by Atlanta rapper Young Nudy that showcases his gritty street-centric style and regional identity.
  • 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 10
    Zone 10 is one of the outer fare zones on the MBTA Commuter Rail system, covering some of the more distant suburban stations from Boston.
  • C. 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.
  • D. Zone 3
    Zone 3 is one of the concentric public transport fare zones in the Île-de-France region surrounding central Paris.
  • E. 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.
  • 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_69d6aa848804819081b2713ca0bedf06 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d751885b348190baf6eb606089a438 completed April 9, 2026, 7:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69dff7dbea28819083511b56bcd7d4ce completed April 15, 2026, 8:41 p.m.
NEDg Description generation batch_69e0026fda3c8190b60174b252d57e12 completed April 15, 2026, 9:26 p.m.
NED2 Entity disambiguation (via description) batch_69e00581fde08190b28b8dde4a21d59e completed April 15, 2026, 9:39 p.m.
Created at: April 8, 2026, 9:21 p.m.