Triple

T21986414
Position Surface form Disambiguated ID Type / Status
Subject Houston, Texas, United States E542971 entity
Predicate hasNeighborhood P40 FINISHED
Object Montrose
Montrose is a vibrant, historically bohemian neighborhood in central Houston known for its eclectic arts scene, LGBTQ+ culture, and diverse dining and nightlife.
 E177401 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: Montrose | Statement: [Houston, Texas, United States, hasNeighborhood, Montrose]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Montrose
Context triple: [Houston, Texas, United States, hasNeighborhood, Montrose]
  • A. Montrose
    Montrose is a coastal town in eastern Scotland known for its historic harbor, sandy beach, and surrounding nature reserves.
  • B. Montrose
    Montrose is a small town located in Dane County in the state of Wisconsin, United States.
  • C. Montrose
    Montrose is a Chicago Transit Authority 'L' station on the Blue Line serving the city's Northwest Side.
  • D. Montrose
    Montrose is a residential neighborhood within the town of Wakefield in Middlesex County, Massachusetts.
  • E. Montrose
    Montrose is a small borough in northeastern Pennsylvania that serves as the administrative and commercial center of Susquehanna County.
  • 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: Montrose
Triple: [Houston, Texas, United States, hasNeighborhood, Montrose]
Generated description
Montrose is a vibrant, historically bohemian neighborhood in central Houston known for its eclectic arts scene, LGBTQ+ culture, and diverse dining and nightlife.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Montrose
Target entity description: Montrose is a vibrant, historically bohemian neighborhood in central Houston known for its eclectic arts scene, LGBTQ+ culture, and diverse dining and nightlife.
  • A. Montrose chosen
    Montrose is a vibrant, artsy neighborhood in Houston, Texas, known for its eclectic culture, historic homes, and diverse community.
  • B. Montrose
    Montrose is a coastal town in eastern Scotland known for its historic harbor, sandy beach, and surrounding nature reserves.
  • C. Montrose
    Montrose is a city in western Colorado known for its access to outdoor recreation, including nearby national parks and scenic mountain landscapes.
  • D. Montrose
    Montrose is a suburb in the northern part of Hobart, Tasmania, known for its residential areas and proximity to the Derwent River.
  • E. Montrose
    Montrose is a small borough in northeastern Pennsylvania that serves as the administrative and commercial center of Susquehanna County.
  • F. None of above.

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_69e0c48136b081908831fa907cc02e18 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f12709cb288190a2620e337fea364c completed April 28, 2026, 9:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a6d7d735081909b86cafe3bc85186 completed May 18, 2026, 1:38 a.m.
NEDg Description generation batch_6a0a6e3690e88190a8cabaa29a84799e completed May 18, 2026, 1:41 a.m.
NED2 Entity disambiguation (via description) batch_6a0a6ea775988190865a406893a467cc completed May 18, 2026, 1:43 a.m.
Created at: April 16, 2026, 8:04 p.m.