Triple

T15425320
Position Surface form Disambiguated ID Type / Status
Subject Northeastern New York E369493 entity
Predicate majorCity P316 FINISHED
Object Troy
Troy is a historic industrial city in New York State, known for its 19th-century architecture, role in the American Industrial Revolution, and as the home of Rensselaer Polytechnic Institute.
 E33157 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: Troy | Statement: [Northeastern New York, majorCity, Troy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Troy
Context triple: [Northeastern New York, majorCity, Troy]
  • A. Troy
    Troy is a 2004 epic historical war film loosely based on Homer's Iliad, depicting the legendary conflict between the Greeks and Trojans.
  • B. Troy
    Troy is a small city in southeastern Alabama known for being the home of Troy University and its vibrant college-town atmosphere.
  • C. Troy
    Troy is the legendary ancient city in Asia Minor that was the focal point of the Trojan War in Greek and Roman mythology.
  • D. Troy
    Troy is a suburban city in Michigan known for its strong business community, shopping centers, and role as a key part of the Detroit metropolitan area.
  • E. Troy
    "Troy" is a powerful early single by Irish singer-songwriter Sinéad O’Connor, known for its intense emotional delivery and poetic lyrics.
  • 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: Troy
Triple: [Northeastern New York, majorCity, Troy]
Generated description
Troy is a historic industrial city in New York State, known for its 19th-century architecture, role in the American Industrial Revolution, and as the home of Rensselaer Polytechnic Institute.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Troy
Target entity description: Troy is a historic industrial city in New York State, known for its 19th-century architecture, role in the American Industrial Revolution, and as the home of Rensselaer Polytechnic Institute.
  • A. Troy chosen
    Troy is a historic city in eastern New York State, known for its 19th-century architecture and role in the Industrial Revolution as a major manufacturing center.
  • B. Troy
    Troy is a small city in southeastern Alabama known for being the home of Troy University and its vibrant college-town atmosphere.
  • C. Troy
    Troy is a suburban city in Michigan known for its strong business community, shopping centers, and role as a key part of the Detroit metropolitan area.
  • D. Troy
    Troy is the legendary ancient city in Asia Minor that was the focal point of the Trojan War in Greek and Roman mythology.
  • E. Troy
    Troy is a masculine given name of ancient origin, famously borne by former NFL quarterback Troy Aikman.
  • 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_69d85a1849f48190bf898068b2806fae completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03ec1fb288190a3625b8e4f487dd1 completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1a7ed0ec8190b8086f78df965b61 completed May 9, 2026, 11:29 a.m.
NEDg Description generation batch_69ff1b3c563481908418411a977df343 completed May 9, 2026, 11:32 a.m.
NED2 Entity disambiguation (via description) batch_69ff1c0ad5448190903dc38f78512f3b completed May 9, 2026, 11:35 a.m.
Created at: April 10, 2026, 3:20 a.m.