Triple

T12529542
Position Surface form Disambiguated ID Type / Status
Subject Crosby County E299524 entity
Predicate hasTown P847 FINISHED
Object Lorenzo
Lorenzo is a small town located in Crosby County in the U.S. state of Texas.
E1017287 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: Lorenzo | Statement: [Crosby County, hasTown, Lorenzo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lorenzo
Context triple: [Crosby County, hasTown, Lorenzo]
  • A. Lorenzo
    Lorenzo is a masculine given name of Italian origin, historically borne by notable figures such as the Renaissance humanist Lorenzo Valla.
  • B. Piero
    Piero was a common given name among members of the powerful Medici family that ruled Florence during the Renaissance.
  • C. Giovanni
    Giovanni was the birth name of Pope Leo X, the influential early 16th-century head of the Catholic Church and a prominent patron of Renaissance art and culture.
  • D. Giovanni
    Giovanni is a Brazilian attacking midfielder best known for his creative playmaking and successful spell at Santos FC in the 1990s.
  • E. Giovanni
    Giovanni is the birth name of Pope Pius IX, the 19th-century head of the Catholic Church and the longest-reigning elected pope.
  • 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: Lorenzo
Triple: [Crosby County, hasTown, Lorenzo]
Generated description
Lorenzo is a small town located in Crosby County in the U.S. state of Texas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lorenzo
Target entity description: Lorenzo is a small town located in Crosby County in the U.S. state of Texas.
  • A. Lorenzo
    Lorenzo is a masculine given name of Italian origin, historically borne by notable figures such as the Renaissance humanist Lorenzo Valla.
  • B. Piero
    Piero was a common given name among members of the powerful Medici family that ruled Florence during the Renaissance.
  • C. Giovanni
    Giovanni was the birth name of Pope Leo X, the influential early 16th-century head of the Catholic Church and a prominent patron of Renaissance art and culture.
  • D. Giovanni
    Giovanni is a Brazilian attacking midfielder best known for his creative playmaking and successful spell at Santos FC in the 1990s.
  • E. Giovanni
    Giovanni is the birth name of Pope Pius IX, the 19th-century head of the Catholic Church and the longest-reigning elected pope.
  • 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_69d6ada5cdd48190860d9ce30aff69be completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d95469d100819087c83bc55e3ec9ce completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbb096d881908dfd2a7126632d96 completed May 3, 2026, 4:14 a.m.
NEDg Description generation batch_69f6cd3d5090819091b65f544ad139fd completed May 3, 2026, 4:21 a.m.
NED2 Entity disambiguation (via description) batch_69f6cdc8d52c819083717a455d589646 completed May 3, 2026, 4:23 a.m.
Created at: April 8, 2026, 9:57 p.m.