Triple

T21670361
Position Surface form Disambiguated ID Type / Status
Subject Summerlin, Las Vegas E534827 entity
Predicate hasPart P35 FINISHED
Object Siena
Siena is a residential village within the master-planned Summerlin community in Las Vegas, known for its golf course, age-restricted living, and upscale amenities.
E1498906 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: Siena | Statement: [Summerlin, Las Vegas, hasPart, Siena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Siena
Context triple: [Summerlin, Las Vegas, hasPart, Siena]
  • A. Siena
    Siena is a historic Tuscan city renowned for its medieval brick architecture, fan-shaped Piazza del Campo, and the Palio horse race.
  • B. SIENA
    SIENA is a secure communication platform used primarily by European law enforcement agencies to exchange sensitive information and coordinate cross-border operations.
  • C. San Gimignano
    San Gimignano is a medieval hill town in Tuscany, Italy, renowned for its well-preserved tower houses and historic cityscape.
  • D. Pistoia
    Pistoia is a historic Italian city known for its medieval architecture, vibrant cultural heritage, and location in the northern part of Tuscany.
  • E. San Miniato
    San Miniato is a historic hilltop town in Tuscany, Italy, known for its medieval architecture and prized white truffles.
  • 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: Siena
Triple: [Summerlin, Las Vegas, hasPart, Siena]
Generated description
Siena is a residential village within the master-planned Summerlin community in Las Vegas, known for its golf course, age-restricted living, and upscale amenities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Siena
Target entity description: Siena is a residential village within the master-planned Summerlin community in Las Vegas, known for its golf course, age-restricted living, and upscale amenities.
  • A. Siena
    Siena is a historic Tuscan city renowned for its medieval brick architecture, fan-shaped Piazza del Campo, and the Palio horse race.
  • B. SIENA
    SIENA is a secure communication platform used primarily by European law enforcement agencies to exchange sensitive information and coordinate cross-border operations.
  • C. San Gimignano
    San Gimignano is a medieval hill town in Tuscany, Italy, renowned for its well-preserved tower houses and historic cityscape.
  • D. Pistoia
    Pistoia is a historic Italian city known for its medieval architecture, vibrant cultural heritage, and location in the northern part of Tuscany.
  • E. San Miniato
    San Miniato is a historic hilltop town in Tuscany, Italy, known for its medieval architecture and prized white truffles.
  • 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_69e0c46898008190aa618a4af55bd1ee completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef8a0a9b4481909477245d53f99cb0 completed April 27, 2026, 4:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a24a02f448190b4ce80e4f7b211a4 completed May 17, 2026, 8:27 p.m.
NEDg Description generation batch_6a0a2c33f44081908a0839a0ee4d31ef completed May 17, 2026, 8:59 p.m.
NED2 Entity disambiguation (via description) batch_6a0a2c89bb908190bed986eee6e29e14 completed May 17, 2026, 9 p.m.
Created at: April 16, 2026, 6:37 p.m.