Triple
T22052661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Smith Reynolds Airport |
E544922
|
entity |
| Predicate | hasIATACode |
P2569
|
FINISHED |
| Object |
INT
INT is the IATA airport code for Smith Reynolds Airport, a public airport serving Winston-Salem, North Carolina.
|
E1516140
|
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: INT | Statement: [Smith Reynolds Airport, hasIATACode, INT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: INT Context triple: [Smith Reynolds Airport, hasIATACode, INT]
-
A.
IN
IN is the two-letter ISO 3166-1 alpha-2 country code representing India in international standards and systems.
-
B.
IN
IN is the official two-letter United States Postal Service abbreviation for the state of Indiana.
-
C.
IN
IN is the commonly used abbreviation for the Innocence Network, a coalition of organizations dedicated to exonerating wrongfully convicted individuals and reforming the criminal justice system.
-
D.
Inter
Inter is a major Italian professional football club based in Milan, renowned for its domestic and international successes, including multiple Serie A and UEFA Champions League titles.
-
E.
Inter
Inter is the commonly used short name for Sport Club Internacional, a major Brazilian football club based in Porto Alegre.
- 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: INT Triple: [Smith Reynolds Airport, hasIATACode, INT]
Generated description
INT is the IATA airport code for Smith Reynolds Airport, a public airport serving Winston-Salem, North Carolina.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: INT Target entity description: INT is the IATA airport code for Smith Reynolds Airport, a public airport serving Winston-Salem, North Carolina.
-
A.
IN
IN is the two-letter ISO 3166-1 alpha-2 country code representing India in international standards and systems.
-
B.
IN
IN is the official two-letter United States Postal Service abbreviation for the state of Indiana.
-
C.
IN
IN is the commonly used abbreviation for the Innocence Network, a coalition of organizations dedicated to exonerating wrongfully convicted individuals and reforming the criminal justice system.
-
D.
Inter
Inter is the commonly used short name for Sport Club Internacional, a major Brazilian football club based in Porto Alegre.
-
E.
Inter
Inter is a major Italian professional football club based in Milan, renowned for its domestic and international successes, including multiple Serie A and UEFA Champions League titles.
- 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_69e11e3377c48190890c17407b9527d6 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1285513fc8190b691e1f57085956f |
completed | April 28, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a7b7b3ccc8190a4d8728b135aa22d |
completed | May 18, 2026, 2:37 a.m. |
| NEDg | Description generation | batch_6a0a7c2705e48190aebbc7b0b6221757 |
completed | May 18, 2026, 2:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a7ce3c684819090b25ca1e7596722 |
completed | May 18, 2026, 2:43 a.m. |
Created at: April 16, 2026, 8:26 p.m.