Triple
T22244842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FIFA country code system |
E549814
|
entity |
| Predicate | hasExampleCode |
P30248
|
FINISHED |
| Object | POR |
—
|
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: POR | Statement: [FIFA country code system, hasExampleCode, POR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: POR Context triple: [FIFA country code system, hasExampleCode, POR]
-
A.
POR
POR is the standard abbreviation used for the Portland Sea Dogs Minor League Baseball team.
-
B.
POR
POR is the National Rail station code for Porth railway station in Rhondda Cynon Taf, Wales.
-
C.
POR
POR is the standard three-letter abbreviation used for the Portland LumberJax, a former professional box lacrosse team based in Portland, Oregon.
-
D.
POR
chosen
POR is the three-letter FIFA country code used to represent the Portugal national football team in international competitions and rankings.
-
E.
PAR
PAR is the IATA city code representing the collective airport system serving Paris, France, including major airports such as Charles de Gaulle and Orly.
- 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_69e11e41d9408190bd770cf282e22753 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f132170e5081909b9dbb204abf2a45 |
completed | April 28, 2026, 10:17 p.m. |
Created at: April 16, 2026, 8:38 p.m.