Triple
T6772919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Office of Financial Research |
E155084
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | OFR |
E155084
|
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: OFR | Statement: [Office of Financial Research, hasAbbreviation, OFR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OFR Context triple: [Office of Financial Research, hasAbbreviation, OFR]
-
A.
OFR
chosen
OFR is a U.S. Treasury Department bureau that collects and analyzes financial data to support oversight of the stability of the financial system.
-
B.
OF
OF is the vehicle registration code used on license plates for vehicles registered in the Offenbach district in the German state of Hesse.
-
C.
OFU
OFU is the IATA airport code for Ofu Airport, a small airfield serving the island of Ofu in American Samoa.
-
D.
OFT
OFT is the acronym commonly used for Boeing's Orbital Flight Test, an uncrewed test mission of the CST-100 Starliner spacecraft for NASA's Commercial Crew Program.
-
E.
OFC
OFC is a leading international conference and exhibition focused on optical fiber communication and networking technologies.
- 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_69c68812ef7c819099369f51febb725c |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d24aaf948190a544cc28b7de67c4 |
completed | March 27, 2026, 6:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c71a803fe08190b4dc32d09e91da07 |
completed | March 28, 2026, 12:02 a.m. |
Created at: March 27, 2026, 2:13 p.m.