Triple

T2467935
Position Surface form Disambiguated ID Type / Status
Subject Shoreham-by-Sea airfield E55296 entity
Predicate hasIATACode P2569 FINISHED
Object ESH
ESH is the IATA airport code for Shoreham-by-Sea airfield, a regional airport on the south coast of England.
 E270080 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: ESH | Statement: [Shoreham-by-Sea airfield, hasIATACode, ESH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ESH
Context triple: [Shoreham-by-Sea airfield, hasIATACode, ESH]
  • A. ESC
    ESC is the commonly used abbreviation for the European Social Charter, a Council of Europe treaty that safeguards social and economic human rights.
  • B. ESC
    ESC is the abbreviated name of the Energy Systems Committee, a group focused on issues related to energy systems.
  • C. ESM
    ESM is the abbreviation for NASA’s Exceptional Service Medal, an honor awarded to individuals for significant, sustained contributions to the agency’s mission.
  • D. ESM
    ESM is an intergovernmental financial institution of the eurozone that provides financial assistance to member states in economic distress to safeguard financial stability.
  • E. EGA
    EGA (Éléments de Géométrie Algébrique) is Alexander Grothendieck’s foundational multi-volume work that rigorously reformulated algebraic geometry using the language of schemes and sheaf theory.
  • 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: ESH
Triple: [Shoreham-by-Sea airfield, hasIATACode, ESH]
Generated description
ESH is the IATA airport code for Shoreham-by-Sea airfield, a regional airport on the south coast of England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ESH
Target entity description: ESH is the IATA airport code for Shoreham-by-Sea airfield, a regional airport on the south coast of England.
  • A. ESC
    ESC is the commonly used abbreviation for the European Social Charter, a Council of Europe treaty that safeguards social and economic human rights.
  • B. ESC
    ESC is the abbreviated name of the Energy Systems Committee, a group focused on issues related to energy systems.
  • C. ESM
    ESM is the abbreviation for NASA’s Exceptional Service Medal, an honor awarded to individuals for significant, sustained contributions to the agency’s mission.
  • D. ESM
    ESM is an intergovernmental financial institution of the eurozone that provides financial assistance to member states in economic distress to safeguard financial stability.
  • E. EGA
    EGA (Éléments de Géométrie Algébrique) is Alexander Grothendieck’s foundational multi-volume work that rigorously reformulated algebraic geometry using the language of schemes and sheaf theory.
  • 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_69ab49e3622c8190ad22afa2c4fbb807 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd134684c8190bc62c0af22d75538 completed March 7, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69af179f90e881909c09edb961b13a75 completed March 9, 2026, 6:55 p.m.
NEDg Description generation batch_69af195ec8788190ae2f94f7cd86e605 completed March 9, 2026, 7:02 p.m.
NED2 Entity disambiguation (via description) batch_69af1a28591c8190ab4f3dca260766f5 completed March 9, 2026, 7:06 p.m.
Created at: March 6, 2026, 9:44 p.m.