Triple
T16944404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pike National Forest |
E411031
|
entity |
| Predicate | nearestCity |
P350
|
FINISHED |
| Object | Woodland Park |
E641491
|
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: Woodland Park | Statement: [Pike National Forest, nearestCity, Woodland Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Woodland Park Context triple: [Pike National Forest, nearestCity, Woodland Park]
-
A.
Woodland Park
Woodland Park is a large urban green space in Seattle known for its wooded areas, sports facilities, and proximity to the Woodland Park Zoo.
-
B.
Woodland Park
chosen
Woodland Park is a small mountain city in Colorado known for its scenic views of Pikes Peak and its role as a gateway to outdoor recreation in the surrounding region.
-
C.
Woodland Park
Woodland Park is a public recreational park located in Collinsville, Illinois.
-
D.
Forest Park
Forest Park is a small residential town in central Oklahoma known for its suburban character and proximity to Oklahoma City.
-
E.
Forest Park
Forest Park is a large historic urban park in Springfield, Massachusetts, known for its extensive green spaces, recreational facilities, and seasonal attractions.
- 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_69d886c886688190967be07322597ac9 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cfb08da88190b07c32652bbc1534 |
completed | April 18, 2026, 6:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00cfea3bc88190acaa013169d607c5 |
completed | May 10, 2026, 6:35 p.m. |
Created at: April 10, 2026, 5:31 a.m.