Triple
T15197027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint-Louis Department |
E363162
|
entity |
| Predicate | usesCurrency |
P188
|
FINISHED |
| Object | XOF |
E122066
|
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: XOF | Statement: [Saint-Louis Department, usesCurrency, XOF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: XOF Context triple: [Saint-Louis Department, usesCurrency, XOF]
-
A.
XOF
chosen
XOF is the West African CFA franc, a regional currency used by several West African countries including Niger.
-
B.
XSF
XSF is the nonprofit organization that develops and maintains the open XMPP communication protocols used for instant messaging and real-time communication.
-
C.
OFB
OFB is an Indian government organization that historically managed a network of ordnance factories responsible for producing arms, ammunition, and military equipment for the country's armed forces.
-
D.
SXF
SXF is the standard abbreviation used for the Sioux Falls Skyforce, a professional basketball team in the NBA G League.
-
E.
SXF
SXF was the IATA airport code for Berlin Schönefeld Airport, the former secondary international airport serving Berlin, Germany.
- 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0067fcc788190abdc083d4eadeb36 |
completed | April 15, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed3342624819087be35acadd88136 |
completed | May 9, 2026, 6:24 a.m. |
Created at: April 10, 2026, 3:10 a.m.