Triple
T3818437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jackson Area Transportation Authority |
E84312
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | JATA |
E390366
|
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: JATA | Statement: [Jackson Area Transportation Authority, abbreviation, JATA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JATA Context triple: [Jackson Area Transportation Authority, abbreviation, JATA]
-
A.
JATA
chosen
JATA is the public transit agency serving the Jackson, Michigan area with bus and related transportation services.
-
B.
Akasa Air
Akasa Air is an Indian low-cost airline that began operations in 2022, offering domestic flights with a focus on affordable fares and a modern fleet.
-
C.
JAL
JAL is the vehicle registration code used on license plates issued in the Mexican state of Jalisco.
-
D.
Amakusa Airlines
Amakusa Airlines is a small Japanese regional airline based in Kumamoto Prefecture that operates domestic routes connecting remote islands and regional cities.
-
E.
Jetstar Japan
Jetstar Japan is a Japanese low-cost airline operating domestic and international flights, partly owned by Qantas and Japan Airlines.
- 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_69aed931f5908190be2c07af66d4df25 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeea5e41ec81908ed7e1ccc2713622 |
completed | March 9, 2026, 3:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b503f75f6c8190b9af77ed212a2774 |
completed | March 14, 2026, 6:45 a.m. |
Created at: March 9, 2026, 3:17 p.m.