Triple
T4376996
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gothenburg Film Festival |
E99030
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
GIFF
GIFF is the commonly used acronym for the Gothenburg Film Festival, one of the leading and largest film festivals in Scandinavia.
|
E435630
|
NE FINISHED |
How this triple was built (4 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: GIFF | Statement: [Gothenburg Film Festival, abbreviation, GIFF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GIFF Context triple: [Gothenburg Film Festival, abbreviation, GIFF]
-
A.
GIFAS
GIFAS (Groupement des Industries Françaises Aéronautiques et Spatiales) is the French aerospace industries association representing and promoting France’s aviation, space, and defense sectors.
-
B.
GIB
GIB is the IATA airport code for Gibraltar International Airport, which serves the British Overseas Territory of Gibraltar.
-
C.
GAFI
GAFI is the French acronym for the Financial Action Task Force, an intergovernmental body that sets global standards to combat money laundering, terrorist financing, and related financial crimes.
-
D.
GFF
GFF is the commonly used abbreviation for the Georgian Football Federation, the governing body of football in Georgia.
-
E.
GF
GF is the two-letter ISO 3166-1 alpha-2 country code assigned to French Guiana.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: GIFF Triple: [Gothenburg Film Festival, abbreviation, GIFF]
Generated description
GIFF is the commonly used acronym for the Gothenburg Film Festival, one of the leading and largest film festivals in Scandinavia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: GIFF Target entity description: GIFF is the commonly used acronym for the Gothenburg Film Festival, one of the leading and largest film festivals in Scandinavia.
-
A.
GIFAS
GIFAS (Groupement des Industries Françaises Aéronautiques et Spatiales) is the French aerospace industries association representing and promoting France’s aviation, space, and defense sectors.
-
B.
GIB
GIB is the IATA airport code for Gibraltar International Airport, which serves the British Overseas Territory of Gibraltar.
-
C.
GAFI
GAFI is the French acronym for the Financial Action Task Force, an intergovernmental body that sets global standards to combat money laundering, terrorist financing, and related financial crimes.
-
D.
GFF
GFF is the commonly used abbreviation for the Georgian Football Federation, the governing body of football in Georgia.
-
E.
GF
GF is the two-letter ISO 3166-1 alpha-2 country code assigned to French Guiana.
- F. None of above. chosen
Provenance (5 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_69b3454ea8f48190a49c2436624d6ef6 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3523ed220819090cef1a7933489d9 |
completed | March 12, 2026, 11:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5e51907688190ad964d341eb84529 |
completed | March 14, 2026, 10:45 p.m. |
| NEDg | Description generation | batch_69b5e5d675808190a5a9767f253f0178 |
completed | March 14, 2026, 10:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5e66837e081908ac5a0079485cd18 |
completed | March 14, 2026, 10:51 p.m. |
Created at: March 12, 2026, 11:18 p.m.