Triple
T11611084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DAR |
E275384
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | DAR |
E275384
|
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: DAR | Statement: [DAR, abbreviation, DAR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DAR Context triple: [DAR, abbreviation, DAR]
-
A.
DAR
chosen
DAR is the Philippine government agency responsible for implementing agrarian reform and redistributing agricultural land to farmers.
-
B.
DARD
DARD is an organization focused on translating research findings into practical applications and real-world impact.
-
C.
DRA
DRA is the commonly used abbreviation for the Democratic Republic of Afghanistan, the Soviet-aligned Afghan state that existed from 1978 to 1992.
-
D.
DGAR
DGAR is the abbreviated title for the Director General of Assam Rifles, the senior-most officer commanding India’s Assam Rifles paramilitary force.
-
E.
DA
DA is the commonly used abbreviation for the Defence Academy of the United Kingdom, the institution responsible for advanced education and training of the UK’s armed forces and defence personnel.
- 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_69d6aaf84b548190ac072e4fb89ae18f |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a043a3c08190a20cbc2ba5a8d218 |
completed | April 10, 2026, 7:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e8a8311bcc8190a3fe7d28c593aea3 |
completed | April 22, 2026, 10:51 a.m. |
Created at: April 8, 2026, 9:38 p.m.