Triple
T2520071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Department of Agrarian Reform |
E55500
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
DAR
DAR is the Philippine government agency responsible for implementing agrarian reform and redistributing agricultural land to farmers.
|
E275384
|
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: DAR | Statement: [Department of Agrarian Reform, hasAbbreviation, DAR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DAR Context triple: [Department of Agrarian Reform, hasAbbreviation, DAR]
-
A.
DARD
DARD is an organization focused on translating research findings into practical applications and real-world impact.
-
B.
DA
DA is a postcode area in southeast England covering parts of south-east London and northwest Kent, including towns such as Dartford and Sidcup.
-
C.
DA
DA is the official abbreviation for the United States Department of the Army, the federal agency responsible for organizing, training, and equipping the U.S. Army.
-
D.
DRV
DRV is an abbreviation commonly used for the Democratic Republic of Vietnam, the former communist state that governed North Vietnam from 1945 to 1976.
-
E.
DOR
DOR is the standard abbreviation used for the Mexican football club Dorados de Sinaloa.
- 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: DAR Triple: [Department of Agrarian Reform, hasAbbreviation, DAR]
Generated description
DAR is the Philippine government agency responsible for implementing agrarian reform and redistributing agricultural land to farmers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DAR Target entity description: DAR is the Philippine government agency responsible for implementing agrarian reform and redistributing agricultural land to farmers.
-
A.
DARD
DARD is an organization focused on translating research findings into practical applications and real-world impact.
-
B.
DA
DA is the official abbreviation for the United States Department of the Army, the federal agency responsible for organizing, training, and equipping the U.S. Army.
-
C.
DA
DA is a postcode area in southeast England covering parts of south-east London and northwest Kent, including towns such as Dartford and Sidcup.
-
D.
DRV
DRV is an abbreviation commonly used for the Democratic Republic of Vietnam, the former communist state that governed North Vietnam from 1945 to 1976.
-
E.
DOR
DOR is the standard abbreviation used for the Mexican football club Dorados de Sinaloa.
- 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_69ab49e4749c8190813311efd1630f1b |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd2343e3081908819dc58d8ff40ce |
completed | March 7, 2026, 7:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af2ba2adc081908a0c7ff24db89de6 |
completed | March 9, 2026, 8:20 p.m. |
| NEDg | Description generation | batch_69af51dee3508190a0d1608a7d905742 |
completed | March 9, 2026, 11:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69af52a97d008190b55491fa557eb729 |
completed | March 9, 2026, 11:07 p.m. |
Created at: March 6, 2026, 9:46 p.m.