Triple
T6149034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Egyptian Football Association |
E137149
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | EFA |
E570968
|
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: EFA | Statement: [Egyptian Football Association, hasAbbreviation, EFA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EFA Context triple: [Egyptian Football Association, hasAbbreviation, EFA]
-
A.
EFA
EFA is the commonly used abbreviation for the French School at Athens, a renowned French archaeological and research institution based in Greece.
-
B.
EFA
chosen
EFA is the governing body responsible for organizing and overseeing football activities and competitions in Egypt.
-
C.
EAF
The EAF is the aerial warfare branch of Egypt's armed forces, responsible for defending the country's airspace and conducting air operations.
-
D.
EEF
EEF is the abbreviation for the Economist Educational Foundation, a charity that promotes economic and financial literacy through educational resources and programs.
-
E.
FEEFA
FEEFA is a song featured on 6ix9ine’s 2018 studio album "Dummy Boy."
- 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_69c008a2c6308190a56519b22d55d083 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05ce21820819096be9159d6b70a5f |
completed | March 22, 2026, 9:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1417c33d08190bd42558cc734601f |
completed | March 23, 2026, 1:34 p.m. |
Created at: March 22, 2026, 4:16 p.m.