Triple
T5561580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Export Administration Regulations |
E145777
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | EAR |
E145777
|
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: EAR | Statement: [Export Administration Regulations, abbreviation, EAR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EAR Context triple: [Export Administration Regulations, abbreviation, EAR]
-
A.
EAR
chosen
The EAR (Export Administration Regulations) are U.S. regulations that control the export and reexport of most commercial and dual-use items for reasons of national security, foreign policy, and trade protection.
-
B.
EAR1
EAR1 is the first experimental area of CERN’s n_TOF neutron time-of-flight facility, used for high-precision neutron-induced reaction measurements in nuclear physics and related research.
-
C.
EARC
EARC is a collegiate athletic conference that organizes and governs men's rowing competitions among Eastern U.S. universities.
-
D.
EAR2
EAR2 is a high-flux experimental area and beam line at CERN’s n_TOF facility used for precision neutron time-of-flight measurements in nuclear physics research.
-
E.
ER
ER is the vehicle registration code assigned to the German city of Erlangen in the state of Bavaria.
- 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_69c008fdae24819081aa002ad99cd966 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c02019c6748190aeefb86f489f726a |
completed | March 22, 2026, 5 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0284525148190a7bf88c22723552a |
completed | March 22, 2026, 5:35 p.m. |
Created at: March 22, 2026, 3:36 p.m.