Triple
T14031633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Les Rouge-et-Bleu |
E337603
|
entity |
| Predicate | clubCountryCode |
P68520
|
FINISHED |
| Object | FRA |
E5364
|
NE FINISHED |
How this triple was built (3 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: FRA | Statement: [Les Rouge-et-Bleu, clubCountryCode, FRA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FRA Context triple: [Les Rouge-et-Bleu, clubCountryCode, FRA]
-
A.
FRA
chosen
FRA is the three-letter ISO 3166-1 alpha-3 country code that uniquely identifies France in international standards and data systems.
-
B.
FRA
FRA is the United States government agency responsible for regulating and overseeing the nation’s railroad safety, infrastructure, and operations.
-
C.
FRA
FRA is the standard abbreviation used to refer to the Royal Moroccan Air Force, the aerial warfare branch of Morocco’s armed forces.
-
D.
FRA
FRA is the acronym for the Global Forest Resources Assessment, a periodic FAO-led study that evaluates the state and trends of the world’s forests.
-
E.
FRA
FRA is the three-letter IATA airport code for Frankfurt Airport, one of Europe’s busiest international aviation hubs located in Frankfurt, Germany.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clubCountryCode Context triple: [Les Rouge-et-Bleu, clubCountryCode, FRA]
-
A.
clubCountryReferenced
Indicates that a club is associated with or located in a particular country.
-
B.
countryRepresentedBy
Indicates that a particular country is officially represented by a specified person, organization, or entity in a given context.
-
C.
countryRepresented
Indicates that one entity serves as the official representative (such as an athlete, diplomat, or delegate) of a specific country in a given context or event.
-
D.
countryOfTeam
Indicates that a team is associated with or represents a particular country.
-
E.
homeCountryIOCCode
chosen
Indicates the International Olympic Committee (IOC) country code that represents an entity’s home or primary national affiliation.
- F. None of above.
Provenance (4 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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2fab17008190981f1808726fa11c |
completed | April 14, 2026, 12:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc337a5cc8190953b84255a401ada |
completed | May 6, 2026, 10:39 p.m. |
| PD | Predicate disambiguation | batch_69de05ab36b48190920efb1869bdb1fe |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:20 p.m.