Triple
T12012625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maple Trail |
E285939
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Forest Park |
E57086
|
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: Forest Park | Statement: [Maple Trail, locatedIn, Forest Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Forest Park Context triple: [Maple Trail, locatedIn, Forest Park]
-
A.
Forest Park
Forest Park is a large urban public park in St. Louis known for hosting major cultural institutions, museums, and recreational spaces, and for being one of the largest city parks in the United States.
-
B.
Forest Park
chosen
Forest Park is a vast, heavily forested urban park in Portland, Oregon, known for its extensive trail system and rich wildlife habitat.
-
C.
Forest Park
Forest Park is a large urban green space in central Queens, New York City, known for its extensive woodlands, trails, and recreational facilities.
-
D.
Forest Park
Forest Park is a large historic urban park in Springfield, Massachusetts, known for its extensive green spaces, recreational facilities, and seasonal attractions.
-
E.
Forest Park
Forest Park is a small residential town in central Oklahoma known for its suburban character and proximity to Oklahoma City.
- 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_69d6ab45a368819084fce08bf0dc3705 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903d884488190b4450a98088208ef |
completed | April 10, 2026, 2:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff01ce8f988190b503af0cd5f2a97e |
completed | May 9, 2026, 9:43 a.m. |
Created at: April 8, 2026, 9:46 p.m.