Triple
T11323570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Himonya |
E268150
|
entity |
| Predicate | hasBodyOfWater |
P1778
|
FINISHED |
| Object | Himonya Pond |
E945154
|
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: Himonya Pond | Statement: [Himonya, hasBodyOfWater, Himonya Pond]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Himonya Pond Context triple: [Himonya, hasBodyOfWater, Himonya Pond]
-
A.
Himonya Pond
chosen
Himonya Pond is a scenic urban pond in Tokyo known for its tranquil atmosphere, boating, and surrounding parkland.
-
B.
Anapji Pond
Anapji Pond is a historic artificial pond and garden in Gyeongju, South Korea, originally built during the Silla Dynasty as part of a royal palace complex and now a famous scenic and archaeological site.
-
C.
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.
-
D.
Daicey Pond
Daicey Pond is a scenic, tranquil pond in Maine known for its views of Mount Katahdin and its popular canoeing, fishing, and camping opportunities.
-
E.
Mashashimuet Pond
Mashashimuet Pond is a small freshwater pond and local natural landmark in Sag Harbor on Long Island, New York, used for recreation and wildlife habitat.
- 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_69d6aaca5c24819083db46a30d86cb34 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9e122e48190b3f890de8d561480 |
completed | April 9, 2026, 6:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f12fa07fc081909a42f9c19ad38511 |
completed | April 28, 2026, 10:07 p.m. |
Created at: April 8, 2026, 9:32 p.m.