Triple
T7079401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cobbs Creek |
E164907
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Cobbs Creek Park |
E286600
|
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: Cobbs Creek Park | Statement: [Cobbs Creek, hasPart, Cobbs Creek Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cobbs Creek Park Context triple: [Cobbs Creek, hasPart, Cobbs Creek Park]
-
A.
Cobbs Creek Park
chosen
Cobbs Creek Park is a large urban green space in West Philadelphia known for its wooded trails, creekside scenery, and recreational facilities.
-
B.
Cobb Park
Cobb Park is a public recreational park located in the city of Kankakee in northeastern Illinois.
-
C.
Mill Creek Park
Mill Creek Park is a popular urban green space in Kansas City, Missouri, known for its walking paths, fountain, and proximity to the Country Club Plaza shopping district.
-
D.
Mill Creek Park
Mill Creek Park is a large historic urban park in Youngstown, Ohio, known for its scenic lakes, trails, gardens, and recreational facilities.
-
E.
Coburn Park
Coburn Park is a public riverside park in Skowhegan, Maine, known for its scenic views, walking paths, and community events.
- 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_69c6887cbc6c8190bdfac42d940f4d8a |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e4ef47d48190b31125d1b57f7bec |
completed | March 27, 2026, 8:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c9251db3388190b8b0ac7549647887 |
completed | March 29, 2026, 1:11 p.m. |
Created at: March 27, 2026, 2:40 p.m.