Triple
T214725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FedEx |
E4793
|
entity |
| Predicate | tickerSymbol |
P1447
|
FINISHED |
| Object |
FDX
FDX is the stock ticker symbol for FedEx Corporation, a major American multinational courier delivery and logistics company.
|
E27543
|
NE FINISHED |
How this triple was built (4 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: FDX | Statement: [FedEx, tickerSymbol, FDX]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FDX Context triple: [FedEx, tickerSymbol, FDX]
-
A.
FED
FED is the commonly used abbreviation for the Fluids Engineering Division, a professional group focused on research and advancements in fluid mechanics and related technologies.
-
B.
FRA
FRA is the three-letter ISO 3166-1 alpha-3 country code that uniquely identifies France in international standards and data systems.
-
C.
FRA
FRA is the United States government agency responsible for regulating and overseeing the nation’s railroad safety, infrastructure, and operations.
-
D.
FISC
FISC is a specialized U.S. federal court that oversees and authorizes government requests for foreign intelligence surveillance, particularly in national security and counterterrorism cases.
-
E.
FedExField
FedExField is a large outdoor football stadium in Landover, Maryland, best known as the longtime home venue of Washington’s NFL franchise.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: FDX Triple: [FedEx, tickerSymbol, FDX]
Generated description
FDX is the stock ticker symbol for FedEx Corporation, a major American multinational courier delivery and logistics company.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FDX Target entity description: FDX is the stock ticker symbol for FedEx Corporation, a major American multinational courier delivery and logistics company.
-
A.
FED
FED is the commonly used abbreviation for the Fluids Engineering Division, a professional group focused on research and advancements in fluid mechanics and related technologies.
-
B.
FRA
FRA is the three-letter ISO 3166-1 alpha-3 country code that uniquely identifies France in international standards and data systems.
-
C.
FRA
FRA is the United States government agency responsible for regulating and overseeing the nation’s railroad safety, infrastructure, and operations.
-
D.
FISC
FISC is a specialized U.S. federal court that oversees and authorizes government requests for foreign intelligence surveillance, particularly in national security and counterterrorism cases.
-
E.
FedExField
FedExField is a large outdoor football stadium in Landover, Maryland, best known as the longtime home venue of Washington’s NFL franchise.
- F. None of above. chosen
Provenance (5 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_69a2575cb1dc8190a01ad332426dc339 |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25c4ca0c8819093f63c6371e2d140 |
completed | Feb. 28, 2026, 3:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a33e3f66888190a05ddcb0af4d3c5f |
completed | Feb. 28, 2026, 7:13 p.m. |
| NEDg | Description generation | batch_69a33ee88af08190bfe81fba01856829 |
completed | Feb. 28, 2026, 7:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a34295afa88190aae0d75a337967e3 |
completed | Feb. 28, 2026, 7:31 p.m. |
Created at: Feb. 28, 2026, 2:52 a.m.