Triple

T14729323
Position Surface form Disambiguated ID Type / Status
Subject Downtown Frederick E346028 entity
Predicate hasPart P35 FINISHED
Object Shab Row
Shab Row is a historic, boutique-filled shopping and dining district in downtown Frederick, Maryland, known for its restored 19th-century buildings and charming streetscape.
E1116741 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: Shab Row | Statement: [Downtown Frederick, hasPart, Shab Row]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shab Row
Context triple: [Downtown Frederick, hasPart, Shab Row]
  • A. Shabestar
    Shabestar is a city in northwestern Iran known for its historical sites and its location within East Azerbaijan Province.
  • B. Mashabei Sadeh
    Mashabei Sadeh is a kibbutz in Israel’s Negev desert, known for its agricultural activities and desert research initiatives.
  • C. Sadeh
    Sadeh is an ancient Persian mid-winter fire festival that celebrates the triumph of light and warmth over darkness and cold.
  • D. Sadeh
    Sadeh was an ancient Egyptian queen of the 11th Dynasty, known as one of the wives of Pharaoh Mentuhotep II and likely a member of the royal court at Thebes.
  • E. Nawbahar
    Nawbahar was the mother of Mahmud of Ghazni, the prominent 11th-century sultan who founded the Ghaznavid Empire in present-day Afghanistan and northern India.
  • 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: Shab Row
Triple: [Downtown Frederick, hasPart, Shab Row]
Generated description
Shab Row is a historic, boutique-filled shopping and dining district in downtown Frederick, Maryland, known for its restored 19th-century buildings and charming streetscape.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Shab Row
Target entity description: Shab Row is a historic, boutique-filled shopping and dining district in downtown Frederick, Maryland, known for its restored 19th-century buildings and charming streetscape.
  • A. Shabestar
    Shabestar is a city in northwestern Iran known for its historical sites and its location within East Azerbaijan Province.
  • B. Mashabei Sadeh
    Mashabei Sadeh is a kibbutz in Israel’s Negev desert, known for its agricultural activities and desert research initiatives.
  • C. Sadeh
    Sadeh is an ancient Persian mid-winter fire festival that celebrates the triumph of light and warmth over darkness and cold.
  • D. Sadeh
    Sadeh was an ancient Egyptian queen of the 11th Dynasty, known as one of the wives of Pharaoh Mentuhotep II and likely a member of the royal court at Thebes.
  • E. Nawbahar
    Nawbahar was the mother of Mahmud of Ghazni, the prominent 11th-century sultan who founded the Ghaznavid Empire in present-day Afghanistan and northern India.
  • 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_69d822e5911c8190ba589f957dbd9ba7 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec26179688190ba9f3cd045da0e2a completed April 14, 2026, 10:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb87ef7c8190a46f317e5475d40e completed May 8, 2026, 3:04 p.m.
NEDg Description generation batch_69fdfe396bb48190ade10c757a3a7e5e completed May 8, 2026, 3:16 p.m.
NED2 Entity disambiguation (via description) batch_69fdfeb5d08081908ff0fdbc489fc985 completed May 8, 2026, 3:18 p.m.
Created at: April 10, 2026, 1:29 a.m.