Triple
T13509821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George F. L. Charles Airport |
E321107
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
SLU
SLU is the IATA airport code for George F. L. Charles Airport, a regional airport serving Castries in Saint Lucia.
|
E1044014
|
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: SLU | Statement: [George F. L. Charles Airport, IATAcode, SLU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SLU Context triple: [George F. L. Charles Airport, IATAcode, SLU]
-
A.
SLU
SLU is a Swedish university specializing in agricultural, environmental, and life sciences research and education.
-
B.
SLU
SLU is the station code for Santa Lucía, a stop on the Santiago Metro system in Chile.
-
C.
SLU School of Law
SLU School of Law is the law school of Saint Louis University, known for its strong programs in health law, public interest, and practical legal training.
-
D.
SLU Saints
SLU Saints is the men's ice hockey team representing St. Lawrence University in NCAA Division I competition.
-
E.
Saint Louis University
Saint Louis University is a private Catholic research university known for its strong Jesuit educational tradition and campuses in St. Louis, Missouri, and Madrid, Spain.
- 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: SLU Triple: [George F. L. Charles Airport, IATAcode, SLU]
Generated description
SLU is the IATA airport code for George F. L. Charles Airport, a regional airport serving Castries in Saint Lucia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SLU Target entity description: SLU is the IATA airport code for George F. L. Charles Airport, a regional airport serving Castries in Saint Lucia.
-
A.
SLU
SLU is the station code for Santa Lucía, a stop on the Santiago Metro system in Chile.
-
B.
SLU
SLU is a Swedish university specializing in agricultural, environmental, and life sciences research and education.
-
C.
SLU School of Law
SLU School of Law is the law school of Saint Louis University, known for its strong programs in health law, public interest, and practical legal training.
-
D.
SLU Saints
SLU Saints is the men's ice hockey team representing St. Lawrence University in NCAA Division I competition.
-
E.
Saint Louis University
Saint Louis University is a private Catholic research university known for its strong Jesuit educational tradition and campuses in St. Louis, Missouri, and Madrid, Spain.
- 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_69d807629d6c8190998f1b9bb12d2ed0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf85a74081909eb08751fc55ce8f |
completed | April 12, 2026, 2:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75490291c8190b5985d8c90ef1af6 |
completed | May 3, 2026, 1:58 p.m. |
| NEDg | Description generation | batch_69f7556329648190be791afdd197b08c |
completed | May 3, 2026, 2:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f755c52c648190a4912725ce65ff04 |
completed | May 3, 2026, 2:03 p.m. |
Created at: April 9, 2026, 9:43 p.m.