Triple
T18296664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FSoS |
E438247
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | FSoS |
—
|
NE NERFINISHED |
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: FSoS | Statement: [FSoS, hasAbbreviation, FSoS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FSoS Context triple: [FSoS, hasAbbreviation, FSoS]
-
A.
FSoS
chosen
FSoS is the commonly used abbreviation for the United Kingdom government position of First Secretary of State, a senior ministerial role often seen as deputy to the Prime Minister.
-
B.
FSoE
FSoE (FailSafe over EtherCAT) is a safety communication protocol used in industrial automation to transmit safety-related data over standard EtherCAT networks.
-
C.
SOF
SOF refers to Jordan’s elite Special Operations Forces, a highly trained military unit specializing in counterterrorism, unconventional warfare, and rapid-response missions.
-
D.
SOF
SOF is the three-letter IATA airport code for Sofia Airport, the main international airport serving Sofia, the capital of Bulgaria.
-
E.
SOF
SOF is the abbreviation for the Belgian Special Operations Forces, an elite military unit specializing in high-risk, strategic missions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b915e3e881909125d760c15d0c29 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e5017c0f04819095cd9d59afc37caa |
completed | April 19, 2026, 4:23 p.m. |
Created at: April 10, 2026, 10:35 a.m.