Triple
T8148623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oceanside Transit Center |
E190275
|
entity |
| Predicate | servedBy |
P82
|
FINISHED |
| Object | Coaster |
E381790
|
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: Coaster | Statement: [Oceanside Transit Center, servedBy, Coaster]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Coaster Context triple: [Oceanside Transit Center, servedBy, Coaster]
-
A.
COASTER
chosen
COASTER is a commuter rail service in San Diego County, California, providing coastal passenger transportation between Oceanside and downtown San Diego.
-
B.
The Giant Coaster
The Giant Coaster is the historic wooden roller coaster later known as Wild One, renowned as one of the classic early 20th-century coasters in the United States.
-
C.
Flying Coaster
Flying Coaster is a type of steel roller coaster featuring a prone, face-down riding position that simulates the sensation of flying.
-
D.
Hyper Coaster
Hyper Coaster is a high-thrill roller coaster model characterized by tall drops, high speeds, and airtime-focused layouts typically exceeding traditional coaster height and speed benchmarks.
-
E.
Boomerang Coast to Coaster
Boomerang Coast to Coaster is a steel shuttle roller coaster featuring a boomerang-style forward and backward ride layout.
- 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_69ca82be7ba8819087de0147e9292c83 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb447e74e081908df774edb2134209 |
completed | March 31, 2026, 3:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccbee697208190a1d9c98b2a4414bd |
completed | April 1, 2026, 6:44 a.m. |
Created at: March 30, 2026, 5:36 p.m.