Triple

T7670031
Position Surface form Disambiguated ID Type / Status
Subject Slobodni teritorij Trsta E173723 entity
Predicate dividedInto P747 FINISHED
Object 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.
 E681045 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: Zona A | Statement: [Slobodni teritorij Trsta, dividedInto, Zona A]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zona A
Context triple: [Slobodni teritorij Trsta, dividedInto, Zona A]
  • 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 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.
  • C. Zone 1A
    Zone 1A is a central MBTA subway fare zone in Boston that includes Park Street station and other core downtown stops.
  • D. SL zone A
    SL zone A is the central public transport fare zone in Stockholm County, covering the innermost parts of the region including central Stockholm.
  • 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. 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: Zona A
Triple: [Slobodni teritorij Trsta, dividedInto, Zona A]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zona A
Target entity description: 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.
  • 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 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.
  • C. Zone 1A
    Zone 1A is a central MBTA subway fare zone in Boston that includes Park Street station and other core downtown stops.
  • D. SL zone A
    SL zone A is the central public transport fare zone in Stockholm County, covering the innermost parts of the region including central Stockholm.
  • 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. 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_69c699562484819086752091e3164a27 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c701c5538881908139881daf41151a completed March 27, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8a22442dc8190a26c966e7b06f1a9 completed March 29, 2026, 3:53 a.m.
NEDg Description generation batch_69c8a2ed6a7c8190b5445d8dfd10166d completed March 29, 2026, 3:56 a.m.
NED2 Entity disambiguation (via description) batch_69c8a3937dd08190a1f9e589185a0f93 completed March 29, 2026, 3:59 a.m.
Created at: March 27, 2026, 4 p.m.