Triple

T13245537
Position Surface form Disambiguated ID Type / Status
Subject Sugar Land, Texas E315391 entity
Predicate hasMasterPlannedCommunity P23364 FINISHED
Object Telfair E1024876 NE FINISHED

How this triple was built (2 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: Telfair | Statement: [Sugar Land, Texas, hasMasterPlannedCommunity, Telfair]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Telfair
Context triple: [Sugar Land, Texas, hasMasterPlannedCommunity, Telfair]
  • A. Telfair chosen
    Telfair is a large, master-planned residential community in Sugar Land, Texas, known for its suburban neighborhoods, lakes, and family-oriented amenities.
  • B. Gibbes
    Gibbes is a surname and variant spelling of Gibbs, historically borne by several notable figures in English-speaking countries.
  • C. Taliaferro
    Taliaferro is the distinctive middle name of influential African American educator and leader Booker T. Washington.
  • D. Sumter, Georgia
    Sumter, Georgia is a small unincorporated rural community located in Sumter County in the southwestern part of the U.S. state of Georgia.
  • E. Colemore
    Colemore is a small rural village and civil parish in East Hampshire, England, known for its historic church and agricultural surroundings.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d806b1072881909e46bd212259c5f0 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98d5c09f88190bb1566a6d8c073a6 completed April 10, 2026, 11:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff3600388190a7f61370f54d5e63 completed May 3, 2026, 7:54 a.m.
Created at: April 9, 2026, 9:23 p.m.