Triple
T16688260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oakland, Maine |
E405522
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object | Snow Pond |
E779237
|
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: Snow Pond | Statement: [Oakland, Maine, locatedOn, Snow Pond]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Snow Pond Context triple: [Oakland, Maine, locatedOn, Snow Pond]
-
A.
Snow Pond
chosen
Snow Pond is a scenic lake in Maine’s Belgrade Lakes region, known for its recreational opportunities and natural beauty.
-
B.
Tivoli Pond
Tivoli Pond is a scenic ornamental lake within Ljubljana’s historic Tivoli Park, known for its tranquil setting, wildlife, and recreational appeal.
-
C.
Middle Pond
Middle Pond is one of the three main interconnected basins of Lake Cochituate in Massachusetts, known for recreational activities such as boating and fishing.
-
D.
Long Pond
Long Pond is a large natural freshwater lake in Lakeville, Massachusetts, known for recreational boating, fishing, and its scenic residential shoreline.
-
E.
Long Pond
Long Pond is a notable body of water located on Clapham Common, a large public park in south London.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ea75df481909a7ebb9b2a9d0afd |
completed | April 18, 2026, 12:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00bb029fa081909c3e52d09637541a |
completed | May 10, 2026, 5:06 p.m. |
Created at: April 10, 2026, 5:19 a.m.