Triple
T12804661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City of Glenarden |
E306111
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | FedExField area |
E1378
|
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: FedExField area | Statement: [City of Glenarden, near, FedExField area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FedExField area Context triple: [City of Glenarden, near, FedExField area]
-
A.
FedExField
chosen
FedExField is a large outdoor football stadium in Landover, Maryland, best known as the longtime home venue of Washington’s NFL franchise.
-
B.
Regions Field
Regions Field is a modern minor league baseball stadium in Birmingham, Alabama, serving as the home of the Birmingham Barons.
-
C.
FedEx
FedEx is a global courier delivery services company known for its overnight shipping and pioneering real-time package tracking.
-
D.
Federal B Area
Federal B Area is a prominent residential and commercial neighborhood in Karachi, Pakistan, known for its planned layout and numerous markets and community facilities.
-
E.
FedMart
FedMart was an early American discount department store chain that helped pioneer the warehouse-style retail model later popularized by companies like Costco.
- 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_69f68ec463f08190822e5235362cf584 |
completed | May 2, 2026, 11:54 p.m. |
Created at: April 9, 2026, 5:30 p.m.