Triple

T6923758
Position Surface form Disambiguated ID Type / Status
Subject Metropolitan City of Bari E160252 entity
Predicate contains P35 FINISHED
Object Monopoli
Monopoli is a coastal town in southern Italy known for its historic old town, picturesque harbor, and Adriatic beaches.
 E630099 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: Monopoli | Statement: [Metropolitan City of Bari, contains, Monopoli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Monopoli
Context triple: [Metropolitan City of Bari, contains, Monopoli]
  • A. Monopoly
    Monopoly is a classic real-estate trading board game in which players buy, sell, and develop properties to bankrupt their opponents.
  • B. UNO
    UNO is a public research university in New Orleans, Louisiana, known for its diverse academic programs and strong ties to the city's culture and economy.
  • C. UNO
    UNO is a public research university located in Omaha, Nebraska, known for its urban campus and strong community engagement.
  • D. Trichinopoly
    Trichinopoly, now commonly known as Tiruchirappalli, is a historic city in Tamil Nadu, India, renowned for its ancient temples and strategic location on the banks of the Kaveri River.
  • E. Ludo
    Ludo is a common short form or nickname for the given name Ludovica.
  • 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: Monopoli
Triple: [Metropolitan City of Bari, contains, Monopoli]
Generated description
Monopoli is a coastal town in southern Italy known for its historic old town, picturesque harbor, and Adriatic beaches.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Monopoli
Target entity description: Monopoli is a coastal town in southern Italy known for its historic old town, picturesque harbor, and Adriatic beaches.
  • A. Monopoly
    Monopoly is a classic real-estate trading board game in which players buy, sell, and develop properties to bankrupt their opponents.
  • B. UNO
    UNO is a public research university in New Orleans, Louisiana, known for its diverse academic programs and strong ties to the city's culture and economy.
  • C. UNO
    UNO is a public research university located in Omaha, Nebraska, known for its urban campus and strong community engagement.
  • D. Trichinopoly
    Trichinopoly, now commonly known as Tiruchirappalli, is a historic city in Tamil Nadu, India, renowned for its ancient temples and strategic location on the banks of the Kaveri River.
  • E. Ludo
    Ludo is a common short form or nickname for the given name Ludovica.
  • 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_69c6884d350081908d8a970e4d40ad78 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6d9fea8d08190b6099a24fbac7de5 completed March 27, 2026, 7:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7513bcd2c8190853bc6e8a33a1673 completed March 28, 2026, 3:55 a.m.
NEDg Description generation batch_69c751abed548190ac2152acd3029d2d completed March 28, 2026, 3:57 a.m.
NED2 Entity disambiguation (via description) batch_69c7558dd72081909af14d319ce01ff6 completed March 28, 2026, 4:14 a.m.
Created at: March 27, 2026, 2:26 p.m.