Triple
T15505390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bridgeport, Texas |
E379066
|
entity |
| Predicate | hasNearbyAttraction |
P2064
|
FINISHED |
| Object | Lake Bridgeport |
—
|
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: Lake Bridgeport | Statement: [Bridgeport, Texas, hasNearbyAttraction, Lake Bridgeport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Bridgeport Context triple: [Bridgeport, Texas, hasNearbyAttraction, Lake Bridgeport]
-
A.
Lake Bridgeport
chosen
Lake Bridgeport is a large North Texas reservoir popular for boating, fishing, and lakeside recreation.
-
B.
Lake Blaisdell
Lake Blaisdell is a freshwater lake located within the Merrimack River watershed in New Hampshire.
-
C.
Wallum Lake
Wallum Lake is a scenic freshwater lake on the Rhode Island–Massachusetts border known for recreation such as boating, fishing, and swimming.
-
D.
Cedar Lake
Cedar Lake is a popular recreational lake in Minneapolis, Minnesota, known for its beaches, trails, and natural surroundings within the city's Chain of Lakes.
-
E.
Orchard Lake
Orchard Lake is a scenic inland lake in Oakland County, Michigan, known for its recreational boating, fishing, and upscale residential shoreline.
- 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_69d85cd53a7c819080f5b9042c4c199e |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03fcd5d948190b25a67a72ef980e9 |
completed | April 16, 2026, 1:47 a.m. |
Created at: April 10, 2026, 3:55 a.m.