Triple
T13243554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edinburgh International Festival |
E315338
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | EIF |
E315338
|
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: EIF | Statement: [Edinburgh International Festival, alsoKnownAs, EIF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EIF Context triple: [Edinburgh International Festival, alsoKnownAs, EIF]
-
A.
EIF
chosen
EIF is the commonly used abbreviation for the Edinburgh International Festival, a major annual performing arts festival held in Scotland’s capital city.
-
B.
EIF
EIF is the European Investment Fund, an EU institution that supports small and medium-sized enterprises by providing risk finance through financial intermediaries.
-
C.
IF
IF is the former IATA airline designator code assigned to Interflug, the former national airline of East Germany.
-
D.
EF
EF is the commonly used abbreviation for the Eclipse Foundation, a nonprofit organization that oversees open-source software projects and the Eclipse IDE ecosystem.
-
E.
EF
EF is the vehicle registration code used on license plates for the German city of Erfurt.
- 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_69d806b1072881909e46bd212259c5f0 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d5b06148190a44e698bbe5cd529 |
completed | April 10, 2026, 11:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a38d09881909e8e3c32e9b1746e |
completed | May 3, 2026, 8:41 a.m. |
Created at: April 9, 2026, 9:23 p.m.