Triple
T13615194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OESM |
E325293
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | FAS |
unclear NED1
|
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: FAS | Statement: [OESM, partOf, FAS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FAS Context triple: [OESM, partOf, FAS]
-
A.
FAS
FAS is a common abbreviation for the Faculty of Arts and Science, an academic division that typically encompasses a wide range of humanities, social science, and natural science disciplines at a university.
-
B.
FAS
FAS is a U.S.-based nonprofit policy and research organization focused on science, technology, national security, and public policy issues.
-
C.
FAS
FAS is the acronym for the Salvadoran Air Force, the aerial warfare branch of El Salvador’s military.
-
D.
FAS
FAS is the commonly used abbreviation for the Faculty of Applied Sciences, an academic division focused on practical and technical scientific disciplines.
-
E.
FAS
FAS is the Foreign Agricultural Service, a U.S. government agency that promotes American agricultural exports and supports international food security and trade policy.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69d8076aae28819092cf636190ee5529 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb0ad0a7c81909c7972187202db96 |
completed | April 12, 2026, 2:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77f9cbc388190972e949324144d2f |
completed | May 3, 2026, 5:02 p.m. |
Created at: April 9, 2026, 9:50 p.m.