Triple

T21392414
Position Surface form Disambiguated ID Type / Status
Subject Wujiang District E527687 entity
Predicate hasWaterTown P59883 FINISHED
Object Lili
Lili is a historic canal town in Wujiang District, Jiangsu Province, known for its traditional waterways, ancient bridges, and well-preserved Jiangnan architecture.
 E1482574 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: Lili | Statement: [Wujiang District, hasWaterTown, Lili]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lili
Context triple: [Wujiang District, hasWaterTown, Lili]
  • A. Lili
    Lili is a 1953 musical fantasy film starring Leslie Caron as a naive orphan who joins a carnival and forms a touching bond with a puppeteer.
  • B. Lili
    Lili is the official mascot character created for the 2017 World Aquatics Championships held in Budapest.
  • C. Lilli
    Lilli is a feminine given name, often used in German-speaking and other European countries, and famously borne by the actress Lilli Palmer.
  • D. Lila
    Lila is a novel by Marilynne Robinson that continues her acclaimed Gilead series, exploring themes of grace, poverty, and belonging through the life of its enigmatic title character.
  • E. Lila
    Lila is the central female protagonist of William Inge’s play "A Loss of Roses," whose personal struggles and relationships drive the drama’s emotional core.
  • 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: Lili
Triple: [Wujiang District, hasWaterTown, Lili]
Generated description
Lili is a historic canal town in Wujiang District, Jiangsu Province, known for its traditional waterways, ancient bridges, and well-preserved Jiangnan architecture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lili
Target entity description: Lili is a historic canal town in Wujiang District, Jiangsu Province, known for its traditional waterways, ancient bridges, and well-preserved Jiangnan architecture.
  • A. Lili
    Lili is a 1953 musical fantasy film starring Leslie Caron as a naive orphan who joins a carnival and forms a touching bond with a puppeteer.
  • B. Lili
    Lili is the official mascot character created for the 2017 World Aquatics Championships held in Budapest.
  • C. Lilli
    Lilli is a feminine given name, often used in German-speaking and other European countries, and famously borne by the actress Lilli Palmer.
  • D. Lila
    Lila is a novel by Marilynne Robinson that continues her acclaimed Gilead series, exploring themes of grace, poverty, and belonging through the life of its enigmatic title character.
  • E. Lila
    Lila is the daughter of French actress Virginie Ledoyen.
  • 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_69e0b51ff3748190935c0a513c62a12b completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b1159a888190aabb5c2a9268bd06 completed April 22, 2026, 11:29 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09bb481ba48190b6d21a51ae23a281 completed May 17, 2026, 12:57 p.m.
NEDg Description generation batch_6a09bea3994481908b7a782fd384603a completed May 17, 2026, 1:12 p.m.
NED2 Entity disambiguation (via description) batch_6a09bf9d2d508190a45847afa0d47337 completed May 17, 2026, 1:16 p.m.
Created at: April 16, 2026, 5:13 p.m.