Triple
T7586441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greenbelt Park |
E179622
|
entity |
| Predicate | nearbyCity |
P350
|
FINISHED |
| Object | Greenbelt |
E58381
|
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: Greenbelt | Statement: [Greenbelt Park, nearbyCity, Greenbelt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Greenbelt Context triple: [Greenbelt Park, nearbyCity, Greenbelt]
-
A.
Greenbelt
Greenbelt is a prominent upscale shopping, dining, and lifestyle complex located in the central business district of Makati in Metro Manila, Philippines.
-
B.
Greenbelt
Greenbelt is a vast network of forests, trails, and natural areas on Staten Island that serves as one of New York City's largest and most significant urban park preserves.
-
C.
Greenbelt, Maryland
chosen
Greenbelt, Maryland is a planned community and city in the Washington, D.C. metropolitan area, originally developed in the 1930s as part of President Franklin D. Roosevelt’s New Deal.
-
D.
Elkridge
Elkridge is an unincorporated community in central Maryland known for its historic sites and proximity to major transportation routes near Baltimore and Washington, D.C.
-
E.
Greenbelt Park
Greenbelt Park is a wooded national park in Greenbelt, Maryland, offering camping, hiking, and other outdoor recreation just outside Washington, D.C.
- 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_69c69f335248819093c1006f30513708 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f9970efc8190b1b9286d86331359 |
completed | March 27, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ca5e06c8dc8190b7b25725fb0a96e8 |
completed | March 30, 2026, 11:27 a.m. |
Created at: March 27, 2026, 3:52 p.m.