Triple
T12729203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kimball Hill Park |
E304186
|
entity |
| Predicate | ownedBy |
P347
|
FINISHED |
| Object | City of Rolling Meadows |
E628397
|
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: City of Rolling Meadows | Statement: [Kimball Hill Park, ownedBy, City of Rolling Meadows]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: City of Rolling Meadows Context triple: [Kimball Hill Park, ownedBy, City of Rolling Meadows]
-
A.
Rolling Meadows
chosen
Rolling Meadows is a suburban city in northeastern Illinois, United States, located in the Chicago metropolitan area.
-
B.
City of Rollingwood
The City of Rollingwood is the municipal government that administers and provides local services to the small, affluent community of Rollingwood in the Austin metropolitan area of Texas.
-
C.
City of Sandy Oaks
The City of Sandy Oaks is a small incorporated municipality located within Bexar County in the state of Texas, United States.
-
D.
City of Lakes
City of Lakes is a popular nickname for Minneapolis, highlighting its many urban lakes and waterfronts.
-
E.
City of Lakes
City of Lakes is a popular nickname for Thane, a city in Maharashtra, India, known for its numerous lakes and scenic waterfronts.
- 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_69d7bdf1426c8190a4402e1c4cdec33a |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d964172490819080cd022ff8290b6e |
completed | April 10, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c8a4b7c8190a514b623a7364fd7 |
completed | May 2, 2026, 10:36 p.m. |
Created at: April 9, 2026, 5:25 p.m.