Triple
T12829861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greece national football team |
E306754
|
entity |
| Predicate | fifaCode |
P6278
|
FINISHED |
| Object | GRE |
E479653
|
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: GRE | Statement: [Greece national football team, fifaCode, GRE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GRE Context triple: [Greece national football team, fifaCode, GRE]
-
A.
GRE
The GRE (Graduate Record Examination) is a standardized test widely used for admission to graduate and business school programs, assessing verbal reasoning, quantitative reasoning, and analytical writing skills.
-
B.
GRE
chosen
GRE is the three-letter International Olympic Committee country code representing Greece in Olympic competitions.
-
C.
GMAT
The GMAT is a standardized, computer-adaptive exam used worldwide to assess analytical, quantitative, verbal, and writing skills for admission to graduate business programs.
-
D.
SAT
SAT is Mexico’s federal tax administration authority responsible for collecting taxes, overseeing customs, and enforcing fiscal regulations.
-
E.
SAT
SAT is the three-letter IATA airport code for San Antonio International Airport, a major commercial airport serving San Antonio, Texas.
- 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_69d7bdf52b94819096d6f0ba4ab50a98 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96faf9ae481908265e198f917d1e6 |
completed | April 10, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f68ed6cc9c8190aa66075505b42ec0 |
completed | May 2, 2026, 11:55 p.m. |
Created at: April 9, 2026, 5:34 p.m.