Triple
T8835504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TRAX |
E210256
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Arena station |
E416837
|
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: Arena station | Statement: [TRAX, hasStation, Arena station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arena station Context triple: [TRAX, hasStation, Arena station]
-
A.
Arena station
chosen
Arena station is a light rail stop in downtown Salt Lake City, Utah, serving the Utah Transit Authority’s TRAX system near the Delta Center arena.
-
B.
Terminal Station
Terminal Station is a passenger stop on Detroit Metropolitan Airport’s McNamara Terminal ExpressTram automated people mover system.
-
C.
Cabitos station
Cabitos station is a stop on Lima Metro’s Line 1 serving passengers in the southern part of Peru’s capital city.
-
D.
Convention Center station
Convention Center station is a light rail stop in downtown Baltimore, Maryland, serving the Baltimore Light RailLink system near the Baltimore Convention Center.
-
E.
Convention Center station
Convention Center station is a MetroLink light rail stop serving the downtown area of St. Louis, Missouri, near its convention and event facilities.
- 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_69ca8388549c819095fd94eadefbb007 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6069ad7881909e31010e73e26f91 |
completed | April 1, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf898022c88190b7274350ce065f00 |
completed | April 3, 2026, 9:33 a.m. |
Created at: March 30, 2026, 6:47 p.m.