Triple
T1933352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maryland Route 202 |
E40994
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Seat Pleasant |
E176214
|
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: Seat Pleasant | Statement: [Maryland Route 202, passesThrough, Seat Pleasant]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seat Pleasant Context triple: [Maryland Route 202, passesThrough, Seat Pleasant]
-
A.
Hillside
Hillside is the former Concord, Massachusetts home of author Nathaniel Hawthorne, now a historic site known as The Wayside.
-
B.
Lomond Hills
Lomond Hills is a prominent range of hills in central Scotland known for its scenic landscapes, walking trails, and panoramic views over Fife and the surrounding area.
-
C.
City of Seat Pleasant
chosen
City of Seat Pleasant is a small suburban municipality in Prince George’s County, Maryland, located just outside Washington, D.C.
-
D.
Gracemont
Gracemont is a low-power, high-efficiency CPU microarchitecture developed by Intel for its Atom-class and hybrid processors.
-
E.
Shippea Hill
Shippea Hill is a small, rural railway station in Cambridgeshire, England, known for its very low passenger usage and location on a remote stretch of fenland.
- 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_69a8864711648190b07bed24ed76258e |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb299f3c48190a5021d320ded4405 |
completed | March 7, 2026, 5:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adf3f16d0c8190967862b68e6cc373 |
completed | March 8, 2026, 10:10 p.m. |
Created at: March 4, 2026, 7:35 p.m.