Triple
T13691936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terminal A Station |
E328286
|
entity |
| Predicate | connectedTo |
P37
|
FINISHED |
| Object | Terminal B Station |
E329198
|
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: Terminal B Station | Statement: [Terminal A Station, connectedTo, Terminal B Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Terminal B Station Context triple: [Terminal A Station, connectedTo, Terminal B Station]
-
A.
Terminal B Station
chosen
Terminal B Station is an AirTrain Newark stop serving passengers traveling to and from Terminal B at Newark Liberty International Airport.
-
B.
Terminal A Station
Terminal A Station is an AirTrain Newark stop serving passengers traveling to and from Terminal A at Newark Liberty International Airport.
-
C.
Terminal Station
Terminal Station is a passenger stop on Detroit Metropolitan Airport’s McNamara Terminal ExpressTram automated people mover system.
-
D.
Terminal Station
Terminal Station is a 1953 Italian-American romantic drama film directed by Vittorio De Sica, known for starring Montgomery Clift and Jennifer Jones in a story of a brief, doomed love affair in Rome.
-
E.
Upper Station
Upper Station is the hilltop terminal of Pittsburgh’s historic Duquesne Incline funicular, serving as its upper boarding and observation point.
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc8746458819095ec1ba3c01ef31b |
completed | April 12, 2026, 4:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7944e7ea0819098a9fbf8842d314b |
completed | May 3, 2026, 6:30 p.m. |
Created at: April 9, 2026, 9:53 p.m.