Triple
T69019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Major Tuddy |
E1379
|
entity |
| Predicate | homeVenue |
P105
|
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: [Major Tuddy, homeVenue, FedExField]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FedExField Context triple: [Major Tuddy, homeVenue, 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.
United States Postal Service
The United States Postal Service is an independent agency of the U.S. federal government responsible for providing nationwide postal delivery and related mail services.
-
D.
FCS
FCS is the NCAA Division I Football Championship Subdivision, the tier of top-level college football that determines its national champion through a playoff system rather than traditional bowl games.
-
E.
FRA
FRA is the three-letter ISO 3166-1 alpha-3 country code that uniquely identifies France in international standards and data systems.
- 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_69a24c06b3bc8190aa4ac89026115efc |
completed | Feb. 28, 2026, 1:59 a.m. |
| NER | Named-entity recognition | batch_69a24f045d38819088f5f71e39fa1ee7 |
completed | Feb. 28, 2026, 2:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a262406a6c81909be211fb2418ccbb |
completed | Feb. 28, 2026, 3:34 a.m. |
Created at: Feb. 28, 2026, 2:03 a.m.