Triple

T16807253
Position Surface form Disambiguated ID Type / Status
Subject Balmer series of hydrogen E408510 entity
Predicate hasLine P35 FINISHED
Object H-delta
H-delta is a spectral absorption or emission line of hydrogen in the Balmer series, corresponding to an electron transition from the n=6 to n=2 energy level.
 E1234874 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: H-delta | Statement: [Balmer series of hydrogen, hasLine, H-delta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: H-delta
Context triple: [Balmer series of hydrogen, hasLine, H-delta]
  • A. H-D
    H-D is the commonly used abbreviation for Harley-Davidson, the iconic American motorcycle manufacturer known for heavyweight cruiser bikes and a strong biker subculture.
  • B. HAD
    HAD is the commonly used abbreviation for the Historical Astronomy Division, a group focused on the study and promotion of the history of astronomy.
  • C. HAD
    HAD is the station code used to identify Hallunda metro station in the Stockholm Metro system.
  • D. Hdn
    Hdn is the station code for Handen station, a commuter rail stop in the Stockholm County region of Sweden.
  • E. HdM
    HdM is the commonly used abbreviation for Stuttgart Media University, a German university specializing in media, information, and communication studies.
  • 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: H-delta
Triple: [Balmer series of hydrogen, hasLine, H-delta]
Generated description
H-delta is a spectral absorption or emission line of hydrogen in the Balmer series, corresponding to an electron transition from the n=6 to n=2 energy level.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: H-delta
Target entity description: H-delta is a spectral absorption or emission line of hydrogen in the Balmer series, corresponding to an electron transition from the n=6 to n=2 energy level.
  • A. H-D
    H-D is the commonly used abbreviation for Harley-Davidson, the iconic American motorcycle manufacturer known for heavyweight cruiser bikes and a strong biker subculture.
  • B. HAD
    HAD is the commonly used abbreviation for the Historical Astronomy Division, a group focused on the study and promotion of the history of astronomy.
  • C. HAD
    HAD is the station code used to identify Hallunda metro station in the Stockholm Metro system.
  • D. Hdn
    Hdn is the station code for Handen station, a commuter rail stop in the Stockholm County region of Sweden.
  • E. HdM
    HdM is the commonly used abbreviation for Stuttgart Media University, a German university specializing in media, information, and communication studies.
  • 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_69d88393905081908d00a86b99996ac8 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b2cd1e8c8190a7a05ba255f711c7 completed April 18, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b28f125481909664363904f4c031 completed May 10, 2026, 4:30 p.m.
NEDg Description generation batch_6a00b399786c8190acbd188ab55b1fa0 completed May 10, 2026, 4:34 p.m.
NED2 Entity disambiguation (via description) batch_6a00b466ecd08190b7b5ee54476631ab completed May 10, 2026, 4:37 p.m.
Created at: April 10, 2026, 5:22 a.m.