Triple

T7218830
Position Surface form Disambiguated ID Type / Status
Subject HMS Electra E150203 entity
Predicate pennantNumber P3153 FINISHED
Object H27
H27 was the pennant number of HMS Electra, a Royal Navy E-class destroyer that served during the early years of World War II.
 E649650 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: H27 | Statement: [HMS Electra, pennantNumber, H27]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: H27
Context triple: [HMS Electra, pennantNumber, H27]
  • A. E-27
    E-27 is the station code assigned to one of the platforms or lines serving Tokyo’s major transit hub, Shinjuku Station.
  • B. Sh 2-275
    Sh 2-275 is a large, circular emission nebula in the constellation Monoceros, notable for its active star-forming region and striking rosette-like appearance.
  • C. Sh 2-276
    Sh 2-276 is a large, faint emission nebula in the constellation Orion, commonly known as Barnard's Loop, forming part of the Orion molecular cloud complex.
  • D. SH 21-76
    SH 21-76 is the U.S. Army’s Ranger Handbook, a field manual that outlines the doctrine, tactics, techniques, and procedures for Army Rangers.
  • E. N277
    N277 is a designated road or route that provides vehicular access to the Mill.
  • 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: H27
Triple: [HMS Electra, pennantNumber, H27]
Generated description
H27 was the pennant number of HMS Electra, a Royal Navy E-class destroyer that served during the early years of World War II.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: H27
Target entity description: H27 was the pennant number of HMS Electra, a Royal Navy E-class destroyer that served during the early years of World War II.
  • A. E-27
    E-27 is the station code assigned to one of the platforms or lines serving Tokyo’s major transit hub, Shinjuku Station.
  • B. Sh 2-275
    Sh 2-275 is a large, circular emission nebula in the constellation Monoceros, notable for its active star-forming region and striking rosette-like appearance.
  • C. Sh 2-276
    Sh 2-276 is a large, faint emission nebula in the constellation Orion, commonly known as Barnard's Loop, forming part of the Orion molecular cloud complex.
  • D. SH 21-76
    SH 21-76 is the U.S. Army’s Ranger Handbook, a field manual that outlines the doctrine, tactics, techniques, and procedures for Army Rangers.
  • E. N277
    N277 is a designated road or route that provides vehicular access to the Mill.
  • 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_69c687effb44819092b95d07d0368c9f completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6e9b045c48190b27b2d6f7c11026f completed March 27, 2026, 8:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7cc014fb88190818e12b7abe90c0a completed March 28, 2026, 12:39 p.m.
NEDg Description generation batch_69c7ccf3cd4c8190babc9e0e6b9f4371 completed March 28, 2026, 12:43 p.m.
NED2 Entity disambiguation (via description) batch_69c7cd5cedd88190b72df89b068c4483 completed March 28, 2026, 12:45 p.m.
Created at: March 27, 2026, 2:53 p.m.