Triple

T6796199
Position Surface form Disambiguated ID Type / Status
Subject Mort E156058 entity
Predicate setting P1957 FINISHED
Object Sto Lat
Sto Lat is a fictional city-state on Terry Pratchett’s Discworld, known as a small but strategically important kingdom near Ankh-Morpork that features in several of the series’ novels.
 E620083 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: Sto Lat | Statement: [Mort, setting, Sto Lat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sto Lat
Context triple: [Mort, setting, Sto Lat]
  • A. Stignano
    Stignano is a small town in the Calabria region of southern Italy, known as the birthplace of the early Renaissance humanist Coluccio Salutati.
  • B. Statte
    Statte is a small Italian municipality in the Apulia region, known for its proximity to Taranto and its mix of industrial areas and rural landscapes.
  • C. Laja
    Laja is a small Chilean city in the Biobío Region, known for its riverside setting and proximity to the Biobío River.
  • D. Lattin
    Lattin is a small rural village in County Tipperary, Ireland, known for its traditional Irish countryside setting and local community life.
  • E. Laka
    Laka is a dialect of the Sara language spoken in parts of Central Africa, particularly in Chad and neighboring regions.
  • 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: Sto Lat
Triple: [Mort, setting, Sto Lat]
Generated description
Sto Lat is a fictional city-state on Terry Pratchett’s Discworld, known as a small but strategically important kingdom near Ankh-Morpork that features in several of the series’ novels.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sto Lat
Target entity description: Sto Lat is a fictional city-state on Terry Pratchett’s Discworld, known as a small but strategically important kingdom near Ankh-Morpork that features in several of the series’ novels.
  • A. Stignano
    Stignano is a small town in the Calabria region of southern Italy, known as the birthplace of the early Renaissance humanist Coluccio Salutati.
  • B. Statte
    Statte is a small Italian municipality in the Apulia region, known for its proximity to Taranto and its mix of industrial areas and rural landscapes.
  • C. Laja
    Laja is a small Chilean city in the Biobío Region, known for its riverside setting and proximity to the Biobío River.
  • D. Lattin
    Lattin is a small rural village in County Tipperary, Ireland, known for its traditional Irish countryside setting and local community life.
  • E. Laka
    Laka is a dialect of the Sara language spoken in parts of Central Africa, particularly in Chad and neighboring regions.
  • 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_69c6881844448190a65822d9b39d7f88 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d2c872f0819092f21e8fdbecc667 completed March 27, 2026, 6:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c71a95987c8190ae8ed5840a6744f0 completed March 28, 2026, 12:02 a.m.
NEDg Description generation batch_69c71ba85f608190b372a4dfe2cdc31c completed March 28, 2026, 12:07 a.m.
NED2 Entity disambiguation (via description) batch_69c71c91e08c81908be81efc2087464a completed March 28, 2026, 12:10 a.m.
Created at: March 27, 2026, 2:15 p.m.