Triple
T12313604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SPFC |
E293542
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | SPFC |
E293542
|
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: SPFC | Statement: [SPFC, shortName, SPFC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SPFC Context triple: [SPFC, shortName, SPFC]
-
A.
SPFC
chosen
SPFC is a Brazilian professional football club based in São Paulo, widely recognized as one of the country's most successful and traditional teams.
-
B.
PAFC
PAFC is the commonly used abbreviation for Plymouth Argyle Football Club, a professional English football team based in Plymouth, Devon.
-
C.
SFC
SFC is a Windows utility that scans for and repairs corrupted or missing system files to help maintain operating system stability.
-
D.
FSP
FSP is the station code used to identify Schweizer Platz station in the Frankfurt public transport network.
-
E.
PSFA
PSFA is the College of Professional Studies and Fine Arts, an academic division that typically encompasses disciplines such as the arts, communications, design, and various professional fields.
- 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_69d6ab6a2b50819082f6aedd32ed608a |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f03d3c88190baedffb83465bff8 |
completed | April 10, 2026, 6:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e86d45881909a9a3c09df0b78f1 |
completed | May 2, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:53 p.m.