Triple
T19402488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laconia |
E485363
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Lakeport |
—
|
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: Lakeport | Statement: [Laconia, contains, Lakeport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lakeport Context triple: [Laconia, contains, Lakeport]
-
A.
Lakeport
Lakeport is the fictional hometown where the children's mystery adventures of the Bobbsey Twins primarily take place.
-
B.
Lakeport
chosen
Lakeport is a neighborhood and village district within the city of Laconia in Belknap County, New Hampshire, known for its location near the lakes region.
-
C.
Lewis Bay
Lewis Bay is a sheltered coastal inlet on Cape Cod in Hyannis, Massachusetts, known for boating, beaches, and scenic waterfront views.
-
D.
The Lake City
The Lake City is the nickname of Acworth, a Georgia city known for its scenic lakes and waterfront recreation.
-
E.
Lincoln Harbor
Lincoln Harbor is a mixed-use waterfront area along the Hudson River in Weehawken, New Jersey, featuring residential buildings, offices, a marina, and transit connections to Manhattan.
- 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_69d8e8d5162481909db12435d9535c1a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e62577f808819099e74feab82b34a4 |
completed | April 20, 2026, 1:09 p.m. |
Created at: April 10, 2026, 1:36 p.m.