Triple
T11096770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asylum, Migration and Integration Fund |
E262396
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
AMIF
AMIF is a European Union funding program that supports policies and projects related to asylum, migration management, and the integration of third-country nationals.
|
E904522
|
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: AMIF | Statement: [Asylum, Migration and Integration Fund, abbreviation, AMIF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AMIF Context triple: [Asylum, Migration and Integration Fund, abbreviation, AMIF]
-
A.
AIF
The AIF, or Australian Imperial Force, was the main expeditionary military force of Australia during World War I, composed of volunteer soldiers who served overseas.
-
B.
FiAF
FiAF is the commonly used abbreviation for the Finnish Air Force, the air warfare branch of Finland’s Defence Forces.
-
C.
Afif
Afif is a town in central Saudi Arabia known as an inland community within the Riyadh administrative region.
-
D.
Amm
Amm is an ancient South Arabian god, particularly revered in the Qataban kingdom as a principal deity associated with protection and tribal identity.
-
E.
Afmadow
Afmadow is a significant town in southern Somalia that serves as one of the main urban centers of the Jubaland region.
- 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: AMIF Triple: [Asylum, Migration and Integration Fund, abbreviation, AMIF]
Generated description
AMIF is a European Union funding program that supports policies and projects related to asylum, migration management, and the integration of third-country nationals.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: AMIF Target entity description: AMIF is a European Union funding program that supports policies and projects related to asylum, migration management, and the integration of third-country nationals.
-
A.
AIF
The AIF, or Australian Imperial Force, was the main expeditionary military force of Australia during World War I, composed of volunteer soldiers who served overseas.
-
B.
FiAF
FiAF is the commonly used abbreviation for the Finnish Air Force, the air warfare branch of Finland’s Defence Forces.
-
C.
Afif
Afif is a town in central Saudi Arabia known as an inland community within the Riyadh administrative region.
-
D.
Amm
Amm is an ancient South Arabian god, particularly revered in the Qataban kingdom as a principal deity associated with protection and tribal identity.
-
E.
Afmadow
Afmadow is a significant town in southern Somalia that serves as one of the main urban centers of the Jubaland region.
- 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_69d6aa9a40d88190a373e2c7e48285db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79a0a02cc8190a15df663d4860163 |
completed | April 9, 2026, 12:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3e7eca9bc8190b43bae081d97d804 |
completed | April 18, 2026, 8:22 p.m. |
| NEDg | Description generation | batch_69e3f2cbb4708190a328cff473104d14 |
completed | April 18, 2026, 9:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e3f497a01881909d1dae70a02e5f97 |
completed | April 18, 2026, 9:16 p.m. |
Created at: April 8, 2026, 9:27 p.m.