Triple
T21187280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BFC 1909 |
E522113
|
entity |
| Predicate | hasRival |
P1375
|
FINISHED |
| Object | SPAL |
—
|
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: SPAL | Statement: [BFC 1909, hasRival, SPAL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SPAL Context triple: [BFC 1909, hasRival, SPAL]
-
A.
SPAL (football club)
chosen
SPAL (football club) is an Italian professional football team based in Ferrara, known for its historic presence in Serie A and strong local support in the Emilia-Romagna region.
-
B.
SPRA
SPRA is the French Armed Forces’ specialized service responsible for radiological protection, monitoring, and response within military contexts.
-
C.
SPL
SPL is the commonly used abbreviation for the Scottish Premier League, the former top professional football division in Scotland.
-
D.
SPL
SPL is a research laboratory focused on developing and testing advanced space propulsion technologies.
-
E.
SPL
SPL is the Search Processing Language used in Splunk for querying, analyzing, and visualizing machine-generated data.
- 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_69e0b50ef1d48190b063aa342667df22 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7302222788190aa55ee0ed7342498 |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 3:07 p.m.