Triple
T16149098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alabama Department of Human Resources |
E391864
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
DHR
DHR is the Alabama state agency responsible for providing social services and assistance programs to children, families, and vulnerable adults.
|
E1197930
|
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: DHR | Statement: [Alabama Department of Human Resources, abbreviation, DHR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DHR Context triple: [Alabama Department of Human Resources, abbreviation, DHR]
-
A.
DHR
DHR is the stock ticker symbol for Danaher Corporation, a global science and technology company focused on life sciences, diagnostics, and environmental and applied solutions.
-
B.
DHN
DHN is the IATA airport code for Dothan Regional Airport serving the Dothan, Alabama area in the United States.
-
C.
RDH
RDH is the National Rail station code for Redhill railway station in Surrey, England.
-
D.
DHM
DHM is the National Rail station code for Durham railway station in County Durham, England.
-
E.
DHM
DHM is the commonly used abbreviation for the German Historical Museum in Berlin, a major institution dedicated to documenting and presenting German history.
- 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: DHR Triple: [Alabama Department of Human Resources, abbreviation, DHR]
Generated description
DHR is the Alabama state agency responsible for providing social services and assistance programs to children, families, and vulnerable adults.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DHR Target entity description: DHR is the Alabama state agency responsible for providing social services and assistance programs to children, families, and vulnerable adults.
-
A.
DHR
DHR is the stock ticker symbol for Danaher Corporation, a global science and technology company focused on life sciences, diagnostics, and environmental and applied solutions.
-
B.
DHN
DHN is the IATA airport code for Dothan Regional Airport serving the Dothan, Alabama area in the United States.
-
C.
RDH
RDH is the National Rail station code for Redhill railway station in Surrey, England.
-
D.
DHM
DHM is the National Rail station code for Durham railway station in County Durham, England.
-
E.
DHM
DHM is the commonly used abbreviation for the German Historical Museum in Berlin, a major institution dedicated to documenting and presenting German history.
- 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_69d87f1c65e48190aa2b4c472e9bafc4 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21d960c088190a0fe2673f60d106b |
completed | April 17, 2026, 11:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff7a9ebf08190aa21cdff051f4ba2 |
completed | May 10, 2026, 3:12 a.m. |
| NEDg | Description generation | batch_69fff86a556c819096bc008e1ca76e8c |
completed | May 10, 2026, 3:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fff926120081909f1042bf3a16ea10 |
completed | May 10, 2026, 3:19 a.m. |
Created at: April 10, 2026, 5:01 a.m.