Triple
T12247536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Cornfield |
E291886
|
entity |
| Predicate | hasNearbyLandmark |
P2064
|
FINISHED |
| Object | North Woods |
E33090
|
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: North Woods | Statement: [The Cornfield, hasNearbyLandmark, North Woods]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: North Woods Context triple: [The Cornfield, hasNearbyLandmark, North Woods]
-
A.
North Woods
chosen
North Woods is a large, wooded section of New York City's Central Park designed to evoke a natural forest retreat within the urban landscape.
-
B.
North Woods
North Woods is a large, protected natural area of forest and trails owned by Skidmore College and used for recreation, education, and research.
-
C.
South Woods
South Woods is a wooded area within New York City's Central Park known for its naturalistic landscape and tranquil, forest-like setting.
-
D.
Great North Woods
The Great North Woods is a remote, heavily forested region of northern New Hampshire known for its wilderness landscapes, outdoor recreation, and abundant wildlife.
-
E.
North Maine Woods
North Maine Woods is a vast, sparsely populated forested region in northern Maine known for its remote wilderness, logging operations, and outdoor recreation opportunities such as hunting, fishing, and camping.
- 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_69d6ab67950c8190be08450a06228c4b |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cc50d808190a3c8d1ada31a6a91 |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60ab9a9b08190903c1ce6d91af2b5 |
completed | May 2, 2026, 2:31 p.m. |
Created at: April 8, 2026, 9:51 p.m.