Triple
T15266794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Collinsville, Illinois |
E364920
|
entity |
| Predicate | hasPark |
P105
|
FINISHED |
| Object |
Woodland Park
Woodland Park is a public recreational park located in Collinsville, Illinois.
|
E1161379
|
NE FINISHED |
How this triple was built (4 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: [Collinsville, Illinois, hasPark, Woodland Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Woodland Park Context triple: [Collinsville, Illinois, hasPark, 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
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.
Forest Park
Forest Park is a small residential town in central Oklahoma known for its suburban character and proximity to Oklahoma City.
-
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 western Chicago suburb that serves as the terminus of the Chicago Transit Authority’s Blue Line rapid transit route.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Woodland Park Triple: [Collinsville, Illinois, hasPark, Woodland Park]
Generated description
Woodland Park is a public recreational park located in Collinsville, Illinois.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Woodland Park Target entity description: Woodland Park is a public recreational park located in Collinsville, Illinois.
-
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
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.
Forest Park
Forest Park is a small residential town in central Oklahoma known for its suburban character and proximity to Oklahoma City.
-
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 large urban green space in central Queens, New York City, known for its extensive woodlands, trails, and recreational facilities.
- F. None of above. chosen
Provenance (5 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_69d85a0f08408190b3c3259ae35d79d2 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00851c5b88190a296b6a105d3ee30 |
completed | April 15, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3d3cf84c8190a4655803b12c9721 |
completed | May 9, 2026, 1:57 p.m. |
| NEDg | Description generation | batch_69ff3e05ba088190a49f8a765397923d |
completed | May 9, 2026, 2 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff3e69d7fc8190b8c5f99d3c8158f6 |
completed | May 9, 2026, 2:02 p.m. |
Created at: April 10, 2026, 3:14 a.m.