Triple
T23321857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glassell Park |
E591172
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Highland Park |
E841294
|
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: Highland Park | Statement: [Glassell Park, borderedBy, Highland Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Highland Park Context triple: [Glassell Park, borderedBy, Highland Park]
-
A.
Highland Park
Highland Park is an affluent, independently governed town that forms an upscale enclave within the Dallas metropolitan area in Texas.
-
B.
Highland Park
Highland Park is a public recreational park and local attraction in Meridian, Mississippi, offering green space and leisure amenities for residents and visitors.
-
C.
Highland Park
Highland Park is a residential suburb on the Gold Coast in Queensland, Australia, known for its family-friendly community and proximity to Nerang.
-
D.
Highland Park
Highland Park is a suburban city in Lake County, Illinois, located along Lake Michigan and served by commuter rail to downtown Chicago.
-
E.
Highland Park
chosen
Highland Park is a public park in Brooklyn and Queens, New York City, known for its expansive green space, recreational facilities, and views over surrounding neighborhoods.
- 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_69e25d1effe4819096907f95f610dbff |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1978672148190bb90804361bb896b |
completed | April 29, 2026, 5:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c4ca7d6b48190b3dbdc716333bb8f |
completed | May 19, 2026, 11:42 a.m. |
Created at: April 17, 2026, 5:07 p.m.