Triple

T18574252
Position Surface form Disambiguated ID Type / Status
Subject Elizabeth City Regional Airport E453946 entity
Predicate iataCode P2569 FINISHED
Object ECG
ECG is the IATA airport code for Elizabeth City Regional Airport in North Carolina, United States.
E1331562 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: ECG | Statement: [Elizabeth City Regional Airport, iataCode, ECG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ECG
Context triple: [Elizabeth City Regional Airport, iataCode, ECG]
  • A. Electrocardiogram
    An electrocardiogram is a medical test that records the electrical activity of the heart to help diagnose various cardiac conditions.
  • B. ECT
    ECT is the three-letter station code used by Transport for London to identify Earl's Court Underground station.
  • C. ECT
    ECT is the standard time zone used in mainland Ecuador, corresponding to UTC−05:00.
  • D. Holter
    Holter is a village in Nannestad Municipality in Viken county, Norway.
  • E. QRS complex
    The QRS complex is the prominent spike-like waveform on an electrocardiogram that represents rapid depolarization and contraction of the heart’s ventricles.
  • 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: ECG
Triple: [Elizabeth City Regional Airport, iataCode, ECG]
Generated description
ECG is the IATA airport code for Elizabeth City Regional Airport in North Carolina, United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: ECG
Target entity description: ECG is the IATA airport code for Elizabeth City Regional Airport in North Carolina, United States.
  • A. Electrocardiogram
    An electrocardiogram is a medical test that records the electrical activity of the heart to help diagnose various cardiac conditions.
  • B. ECT
    ECT is the three-letter station code used by Transport for London to identify Earl's Court Underground station.
  • C. ECT
    ECT is the standard time zone used in mainland Ecuador, corresponding to UTC−05:00.
  • D. Holter
    Holter is a village in Nannestad Municipality in Viken county, Norway.
  • E. QRS complex
    The QRS complex is the prominent spike-like waveform on an electrocardiogram that represents rapid depolarization and contraction of the heart’s ventricles.
  • 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_69d8d38974308190a9174430ef256b73 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e543c8c0608190afc99235006bf87f completed April 19, 2026, 9:06 p.m.
NED1 Entity disambiguation (via context triple) batch_6a04f888bffc819083c8ea4490a53e57 completed May 13, 2026, 10:17 p.m.
NEDg Description generation batch_6a04f934be088190916350d9209c1d7d completed May 13, 2026, 10:20 p.m.
NED2 Entity disambiguation (via description) batch_6a04f9cbff948190ab189a933a1f7e6d completed May 13, 2026, 10:23 p.m.
Created at: April 10, 2026, 11:43 a.m.