Triple
T10105560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MD 202 |
E216310
|
entity |
| Predicate | passesNear |
P416
|
FINISHED |
| Object | FedExField |
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 | Statement: [MD 202, passesNear, FedExField]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FedExField Context triple: [MD 202, passesNear, FedExField]
-
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.
FedEx
FedEx is a global courier delivery services company known for its overnight shipping and pioneering real-time package tracking.
-
C.
FedMart
FedMart was an early American discount department store chain that helped pioneer the warehouse-style retail model later popularized by companies like Costco.
-
D.
United Parcel Service (UPS)
United Parcel Service (UPS) is a global package delivery and supply chain management company known for its extensive logistics network and brown delivery trucks.
-
E.
FedEx Express Mid-Atlantic hub
The FedEx Express Mid-Atlantic hub is a major regional air cargo sorting and distribution center for FedEx Express serving the Mid-Atlantic and surrounding areas of the United States.
- 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_69ca83d039f08190b9d10363221c69fb |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cdd09dde888190bb550a3cd0b204fe |
completed | April 2, 2026, 2:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2cc0572e08190a8ef4d620ac27d88 |
completed | April 5, 2026, 8:54 p.m. |
Created at: March 30, 2026, 9:03 p.m.