Triple
T8009414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santa Maria Public Airport |
E186445
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
SMX
SMX is the IATA airport code for Santa Maria Public Airport in Santa Maria, California.
|
E707284
|
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: SMX | Statement: [Santa Maria Public Airport, IATAcode, SMX]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SMX Context triple: [Santa Maria Public Airport, IATAcode, SMX]
-
A.
SMO
SMO is the IATA airport code for Santa Monica Airport, a general aviation facility located in Santa Monica, California.
-
B.
SMF
SMF (System Management Facilities) is an IBM z/OS component that collects and records system and workload performance data for monitoring, accounting, and capacity planning.
-
C.
SMF
SMF is the three-letter IATA airport code for Sacramento International Airport, the primary commercial airport serving California’s capital city.
-
D.
SMV
SMV is the post-nominal letters used by recipients of the Sovereign’s Medal for Volunteers, a Canadian honour recognizing exceptional volunteer achievements.
-
E.
BXM
BXM is the railway station code for Brussels-South (Bruxelles-Midi / Brussel-Zuid), the main international and domestic rail hub in Brussels, Belgium.
- 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: SMX Triple: [Santa Maria Public Airport, IATAcode, SMX]
Generated description
SMX is the IATA airport code for Santa Maria Public Airport in Santa Maria, California.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SMX Target entity description: SMX is the IATA airport code for Santa Maria Public Airport in Santa Maria, California.
-
A.
SMO
SMO is the IATA airport code for Santa Monica Airport, a general aviation facility located in Santa Monica, California.
-
B.
SMF
SMF (System Management Facilities) is an IBM z/OS component that collects and records system and workload performance data for monitoring, accounting, and capacity planning.
-
C.
SMF
SMF is the three-letter IATA airport code for Sacramento International Airport, the primary commercial airport serving California’s capital city.
-
D.
SMV
SMV is the post-nominal letters used by recipients of the Sovereign’s Medal for Volunteers, a Canadian honour recognizing exceptional volunteer achievements.
-
E.
BXM
BXM is the railway station code for Brussels-South (Bruxelles-Midi / Brussel-Zuid), the main international and domestic rail hub in Brussels, Belgium.
- 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_69ca82abaffc8190ab8af79cdbc31ab3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3d6f76408190a1312369521a187a |
completed | March 31, 2026, 3:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc569e90d48190a1bf1495496017f8 |
completed | March 31, 2026, 11:19 p.m. |
| NEDg | Description generation | batch_69cc58a8f3d08190bec84dc1ba3b5b84 |
completed | March 31, 2026, 11:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc5cb791b48190bd5004b518d23f84 |
completed | March 31, 2026, 11:45 p.m. |
Created at: March 30, 2026, 5:19 p.m.