Triple
T2750333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wellesley, Massachusetts |
E60968
|
entity |
| Predicate | hasLake |
P1025
|
FINISHED |
| Object | Lake Waban |
E149710
|
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: Lake Waban | Statement: [Wellesley, Massachusetts, hasLake, Lake Waban]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Waban Context triple: [Wellesley, Massachusetts, hasLake, Lake Waban]
-
A.
Lake Waban
chosen
Lake Waban is a scenic freshwater lake in Wellesley, Massachusetts, known for its walking trails and its central role in the landscape of Wellesley College.
-
B.
Lake Skanatati
Lake Skanatati is a scenic freshwater lake in New York’s Harriman State Park, popular for fishing, hiking, and lakeside recreation.
-
C.
Messalonskee Lake
Messalonskee Lake is a large freshwater lake in central Maine known for recreation, fishing, and its scenic shoreline.
-
D.
Squam Lake
Squam Lake is a scenic glacial lake in central New Hampshire known for its clear waters, wooded islands, and role as a popular recreation and vacation destination.
-
E.
Woods Lake
Woods Lake is a scenic alpine lake in the Sierra Nevada of California, popular for camping, fishing, and hiking in the Carson Pass area.
- 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_69ab4b79846081909096725374d65ce9 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb52b1d48190b6ab511cc8834a14 |
completed | March 7, 2026, 8:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bff4a84e5881908df112c3a405bbde |
completed | March 22, 2026, 1:54 p.m. |
Created at: March 6, 2026, 9:56 p.m.