Triple
T19402557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meredith |
E485364
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Center Harbor |
—
|
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: Center Harbor | Statement: [Meredith, adjacentTo, Center Harbor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Center Harbor Context triple: [Meredith, adjacentTo, Center Harbor]
-
A.
Center Harbor
chosen
Center Harbor is a small New England town in New Hampshire known for its scenic location on the shores of Lake Winnipesaukee and Squam Lake.
-
B.
Kennebunkport
Kennebunkport is a coastal resort town in southern Maine known for its historic charm, beaches, and long association with the Bush family.
-
C.
North Haven
North Haven is a small settlement on Holy Isle in the Firth of Clyde, Scotland, known for its tranquil setting and association with spiritual retreat activities.
-
D.
North Haven
North Haven is a coastal town in New South Wales, Australia, known for its beaches and relaxed seaside lifestyle.
-
E.
North Haven
North Haven is a coastal suburb in Adelaide, South Australia, known for its marina, beaches, and residential communities.
- 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.