Triple
T20263681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Westpark Tollway |
E498908
|
entity |
| Predicate | tollSystem |
P3913
|
FINISHED |
| Object | EZ TAG |
—
|
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: EZ TAG | Statement: [Westpark Tollway, tollSystem, EZ TAG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EZ TAG Context triple: [Westpark Tollway, tollSystem, EZ TAG]
-
A.
EZ TAG
chosen
EZ TAG is an electronic toll collection system used on certain Texas toll roads that allows drivers to pay tolls automatically without stopping.
-
B.
K-TAG
K-TAG is an electronic toll collection system used on the Kansas Turnpike and compatible highways, allowing drivers to pay tolls automatically via a windshield-mounted transponder.
-
C.
TollTag
TollTag is an electronic toll collection system used on North Texas toll roads, allowing drivers to pay tolls automatically without stopping.
-
D.
2 TAG
2 TAG is a unit of Japan's Air Self-Defense Force responsible for tactical airlift and transport operations.
-
E.
Toe Tag
"Toe Tag" is a song by the rapper Freddie Gibbs, known for its gritty lyrics and hard-hitting production.
- 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_69da6275fa6c8190952924930adee150 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e674ccff008190920b418f51dc4311 |
completed | April 20, 2026, 6:47 p.m. |
Created at: April 11, 2026, 11:41 p.m.