Triple
T2320187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | President George Bush Turnpike |
E51161
|
entity |
| Predicate | tollCollectionSystem |
P395
|
FINISHED |
| Object |
TollTag
TollTag is an electronic toll collection system used on North Texas toll roads, allowing drivers to pay tolls automatically without stopping.
|
E256091
|
NE FINISHED |
How this triple was built (4 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: TollTag | Statement: [President George Bush Turnpike, tollCollectionSystem, TollTag]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TollTag Context triple: [President George Bush Turnpike, tollCollectionSystem, TollTag]
-
A.
E-ZPass
E-ZPass is an electronic toll collection system widely used on highways and bridges across the eastern United States, allowing drivers to pay tolls automatically without stopping.
-
B.
FasTrak
FasTrak is an electronic toll collection system used on bridges, roads, and express lanes throughout California.
-
C.
TAP card
The TAP card is a reusable contactless smart card used to pay fares across public transit systems in the Los Angeles County region.
-
D.
SmarTrip
SmarTrip is a rechargeable contactless smart card used to pay fares on the Washington, D.C. region’s public transit systems.
-
E.
Clipper card
The Clipper card is a reloadable contactless smart card used to pay fares across multiple public transit systems in the San Francisco Bay Area.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: TollTag Triple: [President George Bush Turnpike, tollCollectionSystem, TollTag]
Generated description
TollTag is an electronic toll collection system used on North Texas toll roads, allowing drivers to pay tolls automatically without stopping.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TollTag Target entity description: TollTag is an electronic toll collection system used on North Texas toll roads, allowing drivers to pay tolls automatically without stopping.
-
A.
E-ZPass
E-ZPass is an electronic toll collection system widely used on highways and bridges across the eastern United States, allowing drivers to pay tolls automatically without stopping.
-
B.
FasTrak
FasTrak is an electronic toll collection system used on bridges, roads, and express lanes throughout California.
-
C.
TAP card
The TAP card is a reusable contactless smart card used to pay fares across public transit systems in the Los Angeles County region.
-
D.
SmarTrip
SmarTrip is a rechargeable contactless smart card used to pay fares on the Washington, D.C. region’s public transit systems.
-
E.
Clipper card
The Clipper card is a reloadable contactless smart card used to pay fares across multiple public transit systems in the San Francisco Bay Area.
- F. None of above. chosen
Provenance (5 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_69a88b074b908190ae983dbca7757d88 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc632474c8190972b4611a3a4ff8f |
completed | March 7, 2026, 6:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae896911908190b53954dbf854cc18 |
completed | March 9, 2026, 8:48 a.m. |
| NEDg | Description generation | batch_69ae8d2dcc8081908d4274b2287ff2b8 |
completed | March 9, 2026, 9:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae8d786a648190acf0a14e0d4a120c |
completed | March 9, 2026, 9:06 a.m. |
Created at: March 4, 2026, 7:49 p.m.