Triple
T8407851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spirit of St. Louis Airport |
E198544
|
entity |
| Predicate | ICAOCode |
P419
|
FINISHED |
| Object |
KSUS
KSUS is the ICAO airport code for Spirit of St. Louis Airport, a public airport serving the St. Louis metropolitan area in Missouri, United States.
|
E731386
|
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: KSUS | Statement: [Spirit of St. Louis Airport, ICAOCode, KSUS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KSUS Context triple: [Spirit of St. Louis Airport, ICAOCode, KSUS]
-
A.
KS
KS is the standard two-letter postal abbreviation for the U.S. state of Kansas.
-
B.
SUS
SUS is the commonly used abbreviation for the State University System of Florida, the network of public universities in the state of Florida.
-
C.
SUS
SUS is a standardized specification that defines the requirements for a compliant UNIX operating system, ensuring compatibility and interoperability across different UNIX implementations.
-
D.
KSDF
KSDF is the ICAO airport code for Louisville Muhammad Ali International Airport in Louisville, Kentucky, United States.
-
E.
KSS
KSS is the abbreviated name of the Kaohsiung 17LIVE Steelers, a professional basketball team based in Kaohsiung, Taiwan.
- 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: KSUS Triple: [Spirit of St. Louis Airport, ICAOCode, KSUS]
Generated description
KSUS is the ICAO airport code for Spirit of St. Louis Airport, a public airport serving the St. Louis metropolitan area in Missouri, United States.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KSUS Target entity description: KSUS is the ICAO airport code for Spirit of St. Louis Airport, a public airport serving the St. Louis metropolitan area in Missouri, United States.
-
A.
KS
KS is the standard two-letter postal abbreviation for the U.S. state of Kansas.
-
B.
SUS
SUS is the commonly used abbreviation for the State University System of Florida, the network of public universities in the state of Florida.
-
C.
SUS
SUS is a standardized specification that defines the requirements for a compliant UNIX operating system, ensuring compatibility and interoperability across different UNIX implementations.
-
D.
KSDF
KSDF is the ICAO airport code for Louisville Muhammad Ali International Airport in Louisville, Kentucky, United States.
-
E.
KSS
KSS is the abbreviated name of the Kaohsiung 17LIVE Steelers, a professional basketball team based in Kaohsiung, Taiwan.
- 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_69ca8310df9c8190b25f16161cca3e41 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb8315a8a8819097f6da11b909b527 |
completed | March 31, 2026, 8:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce030dccf08190a70c0abf0bdcf244 |
completed | April 2, 2026, 5:47 a.m. |
| NEDg | Description generation | batch_69ce07808098819087e896b87320aefd |
completed | April 2, 2026, 6:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce08759e1c81909c96caf3b571e1ca |
completed | April 2, 2026, 6:11 a.m. |
Created at: March 30, 2026, 6:05 p.m.