Triple
T7582203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PGFD |
E179513
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | PGFD |
E179513
|
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: PGFD | Statement: [PGFD, hasAbbreviation, PGFD]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PGFD Context triple: [PGFD, hasAbbreviation, PGFD]
-
A.
PGFD
chosen
PGFD is the fire and emergency medical services agency serving Prince George’s County, Maryland.
-
B.
PGFD/EMS
PGFD/EMS is the combined fire protection and emergency medical services agency serving Prince George’s County, Maryland.
-
C.
PFG
PFG is the stock ticker symbol for Principal Financial Group, a U.S.-based global financial services and investment management company.
-
D.
AGFD
AGFD is the American Chemical Society’s Division of Agricultural and Food Chemistry, focusing on the chemistry of agriculture, food, and related products.
-
E.
FGP
FGP is the stock ticker symbol for FirstGroup, a leading UK-based transport operator running bus and rail services in the United Kingdom and North America.
- 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_69c69f327db881909a21ae3b156f8ded |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f978341081909e009c410ffc5039 |
completed | March 27, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8617b8934819094f596e6a037e468 |
completed | March 28, 2026, 11:17 p.m. |
Created at: March 27, 2026, 3:52 p.m.