Triple
T1572596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince George’s County Fire/EMS Department |
E33573
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
PGFD
PGFD is the fire and emergency medical services agency serving Prince George’s County, Maryland.
|
E179513
|
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: PGFD | Statement: [Prince George’s County Fire/EMS Department, hasAbbreviation, PGFD]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PGFD Context triple: [Prince George’s County Fire/EMS Department, hasAbbreviation, PGFD]
-
A.
AGFD
AGFD is the American Chemical Society’s Division of Agricultural and Food Chemistry, focusing on the chemistry of agriculture, food, and related products.
-
B.
GDF
GDF is the Global Drug Facility, an international mechanism that supplies quality-assured medicines and diagnostics to support tuberculosis control and treatment programs worldwide.
-
C.
GDPFS
GDPFS is the World Meteorological Organization’s global system for collecting, processing, and sharing meteorological data and forecasts among national and international centers.
-
D.
GF
GF is the two-letter ISO 3166-1 alpha-2 country code assigned to French Guiana.
-
E.
GAFI
GAFI is the French acronym for the Financial Action Task Force, an intergovernmental body that sets global standards to combat money laundering, terrorist financing, and related financial crimes.
- 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: PGFD Triple: [Prince George’s County Fire/EMS Department, hasAbbreviation, PGFD]
Generated description
PGFD is the fire and emergency medical services agency serving Prince George’s County, Maryland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: PGFD Target entity description: PGFD is the fire and emergency medical services agency serving Prince George’s County, Maryland.
-
A.
AGFD
AGFD is the American Chemical Society’s Division of Agricultural and Food Chemistry, focusing on the chemistry of agriculture, food, and related products.
-
B.
GDF
GDF is the Global Drug Facility, an international mechanism that supplies quality-assured medicines and diagnostics to support tuberculosis control and treatment programs worldwide.
-
C.
GDPFS
GDPFS is the World Meteorological Organization’s global system for collecting, processing, and sharing meteorological data and forecasts among national and international centers.
-
D.
GF
GF is the two-letter ISO 3166-1 alpha-2 country code assigned to French Guiana.
-
E.
GAFI
GAFI is the French acronym for the Financial Action Task Force, an intergovernmental body that sets global standards to combat money laundering, terrorist financing, and related financial crimes.
- 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_69a885f11b048190935025a035302715 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a908bb9c648190933fd19bcc1cb9a4 |
completed | March 5, 2026, 4:38 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad4028bc5881909dbe847229dd63bb |
completed | March 8, 2026, 9:23 a.m. |
| NEDg | Description generation | batch_69ad41930d208190b34531e3f35fa58b |
completed | March 8, 2026, 9:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad422752348190b42ebc3781a6e8a5 |
completed | March 8, 2026, 9:32 a.m. |
Created at: March 4, 2026, 7:27 p.m.