Triple
T12737137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Airtrain |
E304390
|
entity |
| Predicate | branding |
P1500
|
FINISHED |
| Object | Airtrain |
E304390
|
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: Airtrain | Statement: [Airtrain, branding, Airtrain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Airtrain Context triple: [Airtrain, branding, Airtrain]
-
A.
Airtrain
chosen
Airtrain is a privately operated commuter rail service that connects Brisbane Airport with Brisbane’s central business district and surrounding suburbs.
-
B.
AeroTrain
AeroTrain is an automated underground people mover system that transports passengers between terminals at Washington Dulles International Airport.
-
C.
Sky-Streak cabin monorail
The Sky-Streak cabin monorail was a futuristic elevated transportation ride that showcased modern transit technology to visitors at the New York World's Fair.
-
D.
Skyfari aerial tram
The Skyfari aerial tram is a gondola-style cable car ride at the San Diego Zoo that carries visitors high above the grounds for aerial views of the animals and exhibits.
-
E.
Monorail
The Monorail is a single-rail elevated transit system often used as a futuristic urban transport and fairground attraction.
- 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_69d7bdf1426c8190a4402e1c4cdec33a |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9646cfcac81909283dca987755c0e |
completed | April 10, 2026, 8:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c8e2dbc81909c1c85ca699a2679 |
completed | May 2, 2026, 10:37 p.m. |
Created at: April 9, 2026, 5:26 p.m.