Triple
T12804669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City of Glenarden |
E306111
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | Glenarden |
E306111
|
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: Glenarden | Statement: [City of Glenarden, shortName, Glenarden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Glenarden Context triple: [City of Glenarden, shortName, Glenarden]
-
A.
City of Glenarden
chosen
City of Glenarden is a small incorporated municipality in Prince George’s County, Maryland, known as a predominantly residential suburb of Washington, D.C.
-
B.
Dollar Glen
Dollar Glen is a scenic wooded gorge and popular walking area in Clackmannanshire, Scotland, known for its waterfalls, wildlife, and historic castle ruins.
-
C.
Millcreek
Millcreek is a suburban city in central Utah that functions as part of the Salt Lake City metropolitan area.
-
D.
Rowtown
Rowtown is a residential area in Surrey, England, situated near the town of Addlestone.
-
E.
Walnut Hill
Walnut Hill is a residential neighborhood in West Philadelphia known for its early 20th-century rowhouses and proximity to several universities.
- 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_69d7bdf366888190a8cccb982606889c |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e7f370c8190b3fc39c1b63394c6 |
completed | April 10, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f69b95e4dc8190adc0bf9154971028 |
completed | May 3, 2026, 12:49 a.m. |
Created at: April 9, 2026, 5:30 p.m.