Triple
T18475308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Woodlawn station |
E451413
|
entity |
| Predicate | publicTransitSystem |
P1288
|
FINISHED |
| Object | CATS 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: CATS LYNX | Statement: [Woodlawn station, publicTransitSystem, CATS LYNX]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CATS LYNX Context triple: [Woodlawn station, publicTransitSystem, CATS LYNX]
-
A.
CATS LYNX
chosen
CATS LYNX is the light rail transit system serving Charlotte, North Carolina and its surrounding areas.
-
B.
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.
-
C.
Canon Cat
Canon Cat is a text-centric, single-tasking personal computer from the late 1980s designed by Jef Raskin to emphasize efficiency and a streamlined user interface.
-
D.
Cats (franchise)
Cats is a globally popular musical franchise, based on T.S. Eliot’s poetry and Andrew Lloyd Webber’s stage production, centered on a tribe of anthropomorphic cats and their stories.
-
E.
Catz
Catz is the informal nickname for St Catharine’s College, one of the constituent colleges of the University of Cambridge.
- 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_69d8d38465a0819099b9b42d2a662ac1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53062f67881909620c4e8fc00eb7d |
completed | April 19, 2026, 7:43 p.m. |
Created at: April 10, 2026, 11:34 a.m.