Triple
T4031448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AGFD |
E83720
|
entity |
| Predicate | acronym |
P43
|
FINISHED |
| Object | AGFD |
E83720
|
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: AGFD | Statement: [AGFD, acronym, AGFD]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AGFD Context triple: [AGFD, acronym, AGFD]
-
A.
AGFD
chosen
AGFD is the American Chemical Society’s Division of Agricultural and Food Chemistry, focusing on the chemistry of agriculture, food, and related products.
-
B.
PGFD
PGFD is the fire and emergency medical services agency serving Prince George’s County, Maryland.
-
C.
AFDW
AFDW is a U.S. Air Force command responsible for organizing, training, and equipping Air Force personnel in the National Capital Region and providing ceremonial and operational support to joint and Air Force missions there.
-
D.
AFT
AFT is a major American labor union representing teachers and other education professionals across the United States.
-
E.
AFESD
AFESD is a regional Arab financial institution that provides development financing and support to promote economic and social progress in Arab countries.
- 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_69aed92e29ac819080f7a98b594fec05 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb0dbb8481909ff2ee49dadcd1dc |
completed | March 9, 2026, 4:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5563b6d8c8190862597ea39b56de1 |
completed | March 14, 2026, 12:36 p.m. |
Created at: March 9, 2026, 3:36 p.m.