Triple
T8407852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spirit of St. Louis Airport |
E198544
|
entity |
| Predicate | FAA_LID |
P420
|
FINISHED |
| Object | SUS |
E731385
|
NE FINISHED |
How this triple was built (2 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: SUS | Statement: [Spirit of St. Louis Airport, FAA_LID, SUS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SUS Context triple: [Spirit of St. Louis Airport, FAA_LID, SUS]
-
A.
SUS
SUS is the commonly used abbreviation for the State University System of Florida, the network of public universities in the state of Florida.
-
B.
SUS
chosen
SUS is the IATA airport code for Spirit of St. Louis Airport, a public airport serving the St. Louis metropolitan area in Missouri, United States.
-
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.
Sus
Sus is a genus of mammals in the pig family that includes domestic pigs and several species of wild boar.
-
E.
Su
Su is a skilled and deadly martial artist portrayed by Jet Li in the action film "Cradle 2 the Grave."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ce1d34214481908503c662eb060ff7 |
completed | April 2, 2026, 7:39 a.m. |
Created at: March 30, 2026, 6:05 p.m.