Triple
T12652256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University City |
E302191
|
entity |
| Predicate | hasNeighborhood |
P40
|
FINISHED |
| Object | Walnut Hill |
E58797
|
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: Walnut Hill | Statement: [University City, hasNeighborhood, Walnut Hill]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Walnut Hill Context triple: [University City, hasNeighborhood, Walnut Hill]
-
A.
Walnut Hill
chosen
Walnut Hill is a residential neighborhood in West Philadelphia known for its early 20th-century rowhouses and proximity to several universities.
-
B.
Forest Hill
Forest Hill is an affluent residential neighbourhood in midtown Toronto, Ontario, known for its upscale homes and prestigious schools.
-
C.
Forest Hill
Forest Hill is a residential district in the London Borough of Lewisham, known for its hilly streets, green spaces, and the Horniman Museum and Gardens.
-
D.
Laurel Hill
Laurel Hill is a notable landscape feature in Pennsylvania’s Allegheny Mountains, known for its forested ridges, state park, and scenic vistas.
-
E.
Albany Hill
Albany Hill is a prominent wooded knoll and open space area in the small East Bay city of Albany, offering trails, scenic views, and habitat for local wildlife.
- 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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9615f28cc81908e37249d7ab5ed74 |
completed | April 10, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f68ead66bc819099c8d274d69a2022 |
completed | May 2, 2026, 11:54 p.m. |
Created at: April 9, 2026, 5:18 p.m.