Triple
T15044333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FRSL |
E379183
|
entity |
| Predicate | hasAbbreviationForm |
P43
|
FINISHED |
| Object | FRSL |
E379183
|
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: FRSL | Statement: [FRSL, hasAbbreviationForm, FRSL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FRSL Context triple: [FRSL, hasAbbreviationForm, FRSL]
-
A.
FRSL
chosen
FRSL is the post-nominal title indicating Fellowship of the Royal Society of Literature, an honor awarded to distinguished writers and literary figures in the United Kingdom.
-
B.
FRAS
FRAS is a professional post-nominal title indicating fellowship in the Royal Astronomical Society, typically awarded to individuals who have made significant contributions to astronomy or geophysics.
-
C.
FRS
FRS is the post-nominal title used by Fellows of the Royal Society, denoting distinguished scientists elected to the United Kingdom’s national academy of sciences.
-
D.
FRL
FRL is the IATA airport code for Forlì International Airport in Forlì, Italy.
-
E.
FLS
FLS is the station code for Flushing–Main Street, a major Long Island Rail Road terminal in Queens, New York City.
- 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_69d85cd64d108190853797a95c11cc45 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded830c3c08190a87b81abbbb75377 |
completed | April 15, 2026, 12:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9de54380819084568664b63322d2 |
completed | May 9, 2026, 2:37 a.m. |
Created at: April 10, 2026, 3 a.m.