Triple

T7817937
Position Surface form Disambiguated ID Type / Status
Subject Harbor defenses of New York E181057 entity
Predicate hasPart P35 FINISHED
Object Battery Potter
Battery Potter was a late 19th-century coastal artillery fortification that formed part of the seacoast defenses protecting New York Harbor.
E694928 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: Battery Potter | Statement: [Harbor defenses of New York, hasPart, Battery Potter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Battery Potter
Context triple: [Harbor defenses of New York, hasPart, Battery Potter]
  • A. Potter
    Potter is the surname of Beatrix Potter, the renowned English writer, illustrator, and natural scientist best known for her children's books featuring animal characters such as Peter Rabbit.
  • B. Potter
    Potter is a masculine given name most notably borne by U.S. Supreme Court Justice Potter Stewart.
  • C. Potter
    Potter is a small town located in Yates County in the Finger Lakes region of New York State.
  • D. de Potter
    de Potter is a Belgian noble family name historically associated with political and intellectual figures such as Louis de Potter.
  • E. Deconstructing Harry
    Deconstructing Harry is a 1997 dark comedy film written and directed by Woody Allen that follows a troubled writer whose fictional characters begin to intersect with his chaotic real life.
  • 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: Battery Potter
Triple: [Harbor defenses of New York, hasPart, Battery Potter]
Generated description
Battery Potter was a late 19th-century coastal artillery fortification that formed part of the seacoast defenses protecting New York Harbor.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Battery Potter
Target entity description: Battery Potter was a late 19th-century coastal artillery fortification that formed part of the seacoast defenses protecting New York Harbor.
  • A. Potter
    Potter is the surname of Beatrix Potter, the renowned English writer, illustrator, and natural scientist best known for her children's books featuring animal characters such as Peter Rabbit.
  • B. Potter
    Potter is a masculine given name most notably borne by U.S. Supreme Court Justice Potter Stewart.
  • C. Potter
    Potter is a small town located in Yates County in the Finger Lakes region of New York State.
  • D. de Potter
    de Potter is a Belgian noble family name historically associated with political and intellectual figures such as Louis de Potter.
  • E. Deconstructing Harry
    Deconstructing Harry is a 1997 dark comedy film written and directed by Woody Allen that follows a troubled writer whose fictional characters begin to intersect with his chaotic real life.
  • 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_69ca828153f48190bdb27ac46f8e0745 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69caf9708bdc8190a5154efe0f96f458 completed March 30, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb149266e88190a582b11d68702a6a completed March 31, 2026, 12:25 a.m.
NEDg Description generation batch_69cb1732bb608190aa776f23f0dc6189 completed March 31, 2026, 12:37 a.m.
NED2 Entity disambiguation (via description) batch_69cb1a62569c81908709d814954f667e completed March 31, 2026, 12:50 a.m.
Created at: March 30, 2026, 4:40 p.m.