Triple
T1823278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Meadow |
E40589
|
entity |
| Predicate | neighboringFeature |
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: [North Meadow, neighboringFeature, North Woods]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: North Woods Context triple: [North Meadow, neighboringFeature, 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.
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.
-
C.
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.
-
D.
Willona Woods
Willona Woods is a witty, outspoken neighbor and close friend of the Evans family on the 1970s sitcom "Good Times," known for her humor and strong, independent personality.
-
E.
Nyberg Woods
Nyberg Woods is a retail shopping center in Tualatin, Oregon, featuring a variety of stores, restaurants, and services.
- 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_69a8864526c081908a3a4d74f689e2c5 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa662d13e88190a22b0faf0d848c7d |
completed | March 6, 2026, 5:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adbf6722f081908c5368a09d1507ac |
completed | March 8, 2026, 6:26 p.m. |
Created at: March 4, 2026, 7:32 p.m.