Triple
T8480525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Forest |
E200503
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Grand Forest North |
E200503
|
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: Grand Forest North | Statement: [Grand Forest, hasPart, Grand Forest North]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grand Forest North Context triple: [Grand Forest, hasPart, Grand Forest North]
-
A.
Grand Forest
chosen
Grand Forest is a large, wooded park and trail system on Bainbridge Island known for its dense evergreens, wetlands, and network of walking and biking paths.
-
B.
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.
-
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.
Beartown State Forest
Beartown State Forest is a Massachusetts state forest known for its wooded landscapes, hiking trails, and outdoor recreation opportunities in the Berkshires.
-
E.
Argonne Forest
Argonne Forest is a wooded region in northeastern France that was a major World War I battlefield, particularly known for the Meuse-Argonne Offensive.
- 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_69ca831b17988190a1f3f3413d57b820 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe5245034819088c7c5c40170c020 |
completed | March 31, 2026, 3:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6d0a3abc8190a6fde29e728f15fe |
completed | April 2, 2026, 1:20 p.m. |
Created at: March 30, 2026, 6:12 p.m.