Triple
T1714281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Transportation Security Improvement Act |
E37254
|
entity |
| Predicate | modeOfTransportCovered |
P1379
|
FINISHED |
| Object | air transportation |
—
|
LITERAL 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: air transportation | Statement: [Transportation Security Improvement Act, modeOfTransportCovered, air transportation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: modeOfTransportCovered Context triple: [Transportation Security Improvement Act, modeOfTransportCovered, air transportation]
-
A.
hasPublicTransitCoverageType
Indicates the type or category of public transit service coverage associated with an entity.
-
B.
transportType
chosen
Indicates the mode or means of transportation used in carrying something or someone from one place to another.
-
C.
hasTransportRoute
Indicates that there exists a designated transportation connection or route linking one entity to another.
-
D.
hasPublicTransitMode
Indicates that a location, route, or service is associated with or supports a specific mode of public transportation (e.g., bus, train, tram).
-
E.
passesUsedForTransportation
Indicates that the passes are utilized as a means or instrument for transporting people or goods.
- F. None of above.
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_69a8861912dc8190931af43b4b9158a7 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69ab7521878c8190b9e7739b8c3fc705 |
completed | March 7, 2026, 12:45 a.m. |
| PD | Predicate disambiguation | batch_69aa61bd46d48190915500d75a9d8e94 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:30 p.m.