Triple
T18622877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University City Boulevard station |
E455199
|
entity |
| Predicate | publicTransitSystem |
P1288
|
FINISHED |
| Object | LYNX |
—
|
NE NERFINISHED |
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: LYNX | Statement: [University City Boulevard station, publicTransitSystem, LYNX]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LYNX Context triple: [University City Boulevard station, publicTransitSystem, LYNX]
-
A.
LYNX
LYNX is a public bus transportation system serving the Orlando, Florida metropolitan area.
-
B.
LYNX
chosen
LYNX is the public transit system serving the Charlotte, North Carolina metropolitan area, operating buses, light rail, and other transportation services.
-
C.
Lynx Wildcat
The Lynx Wildcat is a modern British multi-role military helicopter used primarily by the Royal Navy and Army Air Corps for reconnaissance, attack, and maritime operations.
-
D.
Lynx
Lynx is a high-speed serial computer bus interface standard, better known as IEEE 1394 or FireWire, used for real-time data transfer between digital devices.
-
E.
Lynx
Lynx is a popular men’s grooming brand, known as Axe in many countries, offering deodorants, body sprays, and related personal care products.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d38cc7948190a55ea64e5638994e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54f020fa08190bd78d72182496b19 |
completed | April 19, 2026, 9:54 p.m. |
Created at: April 10, 2026, 11:46 a.m.