Triple
T12617999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Memmingen |
E301302
|
entity |
| Predicate | airportIATAcode |
P418
|
FINISHED |
| Object |
FMM
FMM is the IATA airport code for Memmingen Airport, a regional international airport in southern Germany often used as a low-cost alternative to Munich.
|
E992104
|
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: FMM | Statement: [Memmingen, airportIATAcode, FMM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FMM Context triple: [Memmingen, airportIATAcode, FMM]
-
A.
FMM Sines
FMM Sines is a renowned world music festival held annually in Sines, Portugal, showcasing diverse global artists and musical traditions.
-
B.
FFM
FFM is an abbreviation commonly used for the Montreal World Film Festival, an international film festival held annually in Montreal, Canada.
-
C.
FMF
FMF is the commonly used abbreviation for the Mexican Football Federation, the governing body of professional and amateur soccer in Mexico.
-
D.
FMF
FMF is a U.S. government program that provides grants and loans to help foreign countries purchase American defense equipment, services, and training.
-
E.
FPM
FPM is the Fellow Programme in Management, a doctoral-level research program in management studies offered by the Indian Institutes of Management.
- 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: FMM Triple: [Memmingen, airportIATAcode, FMM]
Generated description
FMM is the IATA airport code for Memmingen Airport, a regional international airport in southern Germany often used as a low-cost alternative to Munich.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FMM Target entity description: FMM is the IATA airport code for Memmingen Airport, a regional international airport in southern Germany often used as a low-cost alternative to Munich.
-
A.
FMM Sines
FMM Sines is a renowned world music festival held annually in Sines, Portugal, showcasing diverse global artists and musical traditions.
-
B.
FFM
FFM is an abbreviation commonly used for the Montreal World Film Festival, an international film festival held annually in Montreal, Canada.
-
C.
FMF
FMF is the commonly used abbreviation for the Mexican Football Federation, the governing body of professional and amateur soccer in Mexico.
-
D.
FMF
FMF is a U.S. government program that provides grants and loans to help foreign countries purchase American defense equipment, services, and training.
-
E.
FPM
FPM is the Fellow Programme in Management, a doctoral-level research program in management studies offered by the Indian Institutes of Management.
- 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_69d7bdeaf49c8190b13800111fa77ea3 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d960c63ea48190ae1aae9280a023a6 |
completed | April 10, 2026, 8:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65ed507988190b9d46586f3c3584c |
completed | May 2, 2026, 8:30 p.m. |
| NEDg | Description generation | batch_69f65fb03b248190b264230b84b17635 |
completed | May 2, 2026, 8:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6608ec32c8190803c6f5677c300d6 |
completed | May 2, 2026, 8:37 p.m. |
Created at: April 9, 2026, 5:13 p.m.