Triple
T14184110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warsaw Film Festival |
E351530
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
WFF
WFF is an annual international film festival held in Warsaw, Poland, showcasing a wide range of contemporary cinema from around the world.
|
E1084272
|
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: WFF | Statement: [Warsaw Film Festival, abbreviation, WFF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WFF Context triple: [Warsaw Film Festival, abbreviation, WFF]
-
A.
WFF
WFF is a NASA rocket launch and research facility located on Wallops Island, Virginia, supporting suborbital and orbital missions.
-
B.
WFF
WFF is the National Rail station code for Whifflet railway station in North Lanarkshire, Scotland.
-
C.
WF
WF is the common abbreviation for Windows Workflow Foundation, a Microsoft technology for building workflow-enabled applications within the .NET framework.
-
D.
WF
WF is the common abbreviation for Wikifunctions, a Wikimedia project aimed at creating a collaborative catalog of reusable functions.
-
E.
WF-WAL
WF-WAL is the ISO 3166-2 subdivision code assigned to Wallis (ʻUvea), one of the main island groups of the French overseas collectivity of Wallis and Futuna in the South Pacific.
- 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: WFF Triple: [Warsaw Film Festival, abbreviation, WFF]
Generated description
WFF is an annual international film festival held in Warsaw, Poland, showcasing a wide range of contemporary cinema from around the world.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: WFF Target entity description: WFF is an annual international film festival held in Warsaw, Poland, showcasing a wide range of contemporary cinema from around the world.
-
A.
WFF
WFF is a NASA rocket launch and research facility located on Wallops Island, Virginia, supporting suborbital and orbital missions.
-
B.
WFF
WFF is the National Rail station code for Whifflet railway station in North Lanarkshire, Scotland.
-
C.
WF
WF is the common abbreviation for Windows Workflow Foundation, a Microsoft technology for building workflow-enabled applications within the .NET framework.
-
D.
WF
WF is the common abbreviation for Wikifunctions, a Wikimedia project aimed at creating a collaborative catalog of reusable functions.
-
E.
WF-WAL
WF-WAL is the ISO 3166-2 subdivision code assigned to Wallis (ʻUvea), one of the main island groups of the French overseas collectivity of Wallis and Futuna in the South Pacific.
- 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_69d8278834a08190b0f1784e58d7b99c |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61cc0a848190b660095972b1223b |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcf81285c481908a5594bcb3304981 |
completed | May 7, 2026, 8:37 p.m. |
| NEDg | Description generation | batch_69fd06a6e5d08190906cca66b2dcf565 |
completed | May 7, 2026, 9:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd07116e74819089aa9f75a11c6531 |
completed | May 7, 2026, 9:41 p.m. |
Created at: April 10, 2026, 1:03 a.m.