Triple
T16297830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tumbledown Mountain |
E395695
|
entity |
| Predicate | hasBodyOfWater |
P1778
|
FINISHED |
| Object | Tumbledown Pond |
E1210144
|
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: Tumbledown Pond | Statement: [Tumbledown Mountain, hasBodyOfWater, Tumbledown Pond]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tumbledown Pond Context triple: [Tumbledown Mountain, hasBodyOfWater, Tumbledown Pond]
-
A.
Tumbledown Pond
chosen
Tumbledown Pond is a small alpine lake nestled high on Tumbledown Mountain in Maine, popular with hikers for its scenic, cliff-ringed setting.
-
B.
Gunting Pond
Gunting Pond is a scenic water feature within the Bogor Botanical Gardens in Indonesia, known for its tranquil atmosphere and surrounding lush plant collections.
-
C.
Prickend Pond
Prickend Pond is a notable historic village pond and local beauty spot in Chislehurst, in the London Borough of Bromley.
-
D.
Willow Pond
Willow Pond is a scenic body of water in Olmsted Park, known for its tranquil setting and surrounding natural landscape.
-
E.
Trickey Pond
Trickey Pond is a small, clear freshwater lake in Naples, Maine, known for its clean water and recreational activities like swimming, boating, and fishing.
- 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_69d87f23bb088190a16fbb91a1957ea5 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e25e2f486c8190b73c15f59335cde2 |
completed | April 17, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003c4ab62881909c311bdc44068dc4 |
completed | May 10, 2026, 8:05 a.m. |
Created at: April 10, 2026, 5:06 a.m.