Triple

T7685684
Position Surface form Disambiguated ID Type / Status
Subject Kai Siegbahn E174109 entity
Predicate knownFor P22 FINISHED
Object ESCA
ESCA (Electron Spectroscopy for Chemical Analysis) is an analytical technique based on X-ray photoelectron spectroscopy used to determine the elemental composition and chemical states of materials' surfaces.
 E681654 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: ESCA | Statement: [Kai Siegbahn, knownFor, ESCA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ESCA
Context triple: [Kai Siegbahn, knownFor, ESCA]
  • A. ESC-A
    ESC-A is the cryogenic upper stage used on the Ariane 5 ECA launch vehicle, powered by a single HM7B engine to place payloads into orbit.
  • B. ESCD
    ESCD is the abbreviation for NATO’s Emerging Security Challenges Division, which focuses on addressing new and evolving threats such as cyber defense, terrorism, and energy security.
  • C. ESC
    ESC is the commonly used abbreviation for the European Social Charter, a Council of Europe treaty that safeguards social and economic human rights.
  • D. ESC
    ESC is the abbreviated name of the Energy Systems Committee, a group focused on issues related to energy systems.
  • E. EGSC
    EGSC is the ICAO airport code for Cambridge City Airport in Cambridge, England.
  • 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: ESCA
Triple: [Kai Siegbahn, knownFor, ESCA]
Generated description
ESCA (Electron Spectroscopy for Chemical Analysis) is an analytical technique based on X-ray photoelectron spectroscopy used to determine the elemental composition and chemical states of materials' surfaces.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ESCA
Target entity description: ESCA (Electron Spectroscopy for Chemical Analysis) is an analytical technique based on X-ray photoelectron spectroscopy used to determine the elemental composition and chemical states of materials' surfaces.
  • A. ESC-A
    ESC-A is the cryogenic upper stage used on the Ariane 5 ECA launch vehicle, powered by a single HM7B engine to place payloads into orbit.
  • B. ESCD
    ESCD is the abbreviation for NATO’s Emerging Security Challenges Division, which focuses on addressing new and evolving threats such as cyber defense, terrorism, and energy security.
  • C. ESC
    ESC is the commonly used abbreviation for the European Social Charter, a Council of Europe treaty that safeguards social and economic human rights.
  • D. ESC
    ESC is the abbreviated name of the Energy Systems Committee, a group focused on issues related to energy systems.
  • E. EGSC
    EGSC is the ICAO airport code for Cambridge City Airport in Cambridge, England.
  • 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_69c6995840408190a19de6c51090f46f completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7022118908190a3a93cfda79be0a4 completed March 27, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8a25c2a308190908ffdd2f0b7262f completed March 29, 2026, 3:54 a.m.
NEDg Description generation batch_69c8a37c995881908c71791c6cc002f3 completed March 29, 2026, 3:58 a.m.
NED2 Entity disambiguation (via description) batch_69c8a3fe63a4819086bcb5f80cdbd30b completed March 29, 2026, 4:01 a.m.
Created at: March 27, 2026, 4:02 p.m.