Triple
T15379229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Concord, Massachusetts |
E367754
|
entity |
| Predicate | hasHistoricSite |
P1098
|
FINISHED |
| Object | Walden Pond |
E168194
|
NE FINISHED |
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: Walden Pond | Statement: [Concord, Massachusetts, hasHistoricSite, Walden Pond]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Walden Pond Context triple: [Concord, Massachusetts, hasHistoricSite, Walden Pond]
-
A.
Walden Pond
chosen
Walden Pond is a small glacial lake in Concord, Massachusetts, best known as the setting of Henry David Thoreau’s book "Walden" and a symbol of natural simplicity and transcendentalist philosophy.
-
B.
Wakeby Pond
Wakeby Pond is a freshwater lake on Cape Cod in Mashpee, Massachusetts, known for recreational activities like fishing, boating, and swimming.
-
C.
Emerson Pond
Emerson Pond is a small freshwater pond located in the town of Chester in Rockingham County, New Hampshire.
-
D.
Walden Pond (Lynn)
Walden Pond (Lynn) is a scenic pond within the Lynn Woods Reservation in Lynn, Massachusetts, known for its natural beauty and recreational use.
-
E.
Sabattus Pond
Sabattus Pond is a freshwater lake in Sabattus, Maine, known for recreational activities such as fishing, boating, and seasonal tourism.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d85a1551a08190ba2caea7cd51c639 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e6044488190b0499db109f7f821 |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3d3eb6388190ba269350dbe7dfbc |
completed | May 9, 2026, 1:57 p.m. |
Created at: April 10, 2026, 3:19 a.m.