Triple
T8933899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sierra Leone national football team |
E212726
|
entity |
| Predicate | fifaCode |
P6278
|
FINISHED |
| Object | SLE |
E140673
|
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: SLE | Statement: [Sierra Leone national football team, fifaCode, SLE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SLE Context triple: [Sierra Leone national football team, fifaCode, SLE]
-
A.
SLE
SLE is a mid-level trim package for GMC vehicles that typically adds upgraded comfort, convenience, and appearance features over the base model.
-
B.
SLE
SLE is the IATA airport code for Salem Municipal Airport, a public airport serving Salem, Oregon, in the United States.
-
C.
SLE
SLE is a commuter rail service operating along the Connecticut shoreline, connecting towns between New London and New Haven.
-
D.
SLE
chosen
SLE is the three-letter ISO 3166-1 alpha-3 country code assigned to Sierra Leone.
-
E.
Lupus
Lupus is a small, faint constellation in the southern sky, traditionally depicted as a wolf or wild animal.
- 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_69ca8395c438819087d7cb844ab5990c |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc668fa87c8190bfeda820368b89e4 |
completed | April 1, 2026, 12:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc1d965cc8190bad0a990df318698 |
completed | April 3, 2026, 1:34 p.m. |
Created at: March 30, 2026, 6:57 p.m.