Triple
T2218896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paris Air Show |
E48094
|
entity |
| Predicate | organizer |
P123
|
FINISHED |
| Object |
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.
|
E245376
|
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: GIFAS | Statement: [Paris Air Show, organizer, GIFAS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GIFAS Context triple: [Paris Air Show, organizer, GIFAS]
-
A.
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.
-
B.
GUF
GUF is the three-letter ISO 3166-1 alpha-3 country code assigned to French Guiana.
-
C.
GIP
GIP is the ISO 4217 currency code for the Gibraltar pound, the official currency of Gibraltar.
-
D.
Fipa
Fipa is the name of a Bantu-speaking ethnic group primarily inhabiting the Rukwa Region of southwestern Tanzania.
-
E.
GDF
GDF is the Global Drug Facility, an international mechanism that supplies quality-assured medicines and diagnostics to support tuberculosis control and treatment programs worldwide.
- 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: GIFAS Triple: [Paris Air Show, organizer, GIFAS]
Generated description
GIFAS (Groupement des Industries Françaises Aéronautiques et Spatiales) is the French aerospace industries association representing and promoting France’s aviation, space, and defense sectors.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: GIFAS Target entity description: GIFAS (Groupement des Industries Françaises Aéronautiques et Spatiales) is the French aerospace industries association representing and promoting France’s aviation, space, and defense sectors.
-
A.
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.
-
B.
GUF
GUF is the three-letter ISO 3166-1 alpha-3 country code assigned to French Guiana.
-
C.
GIP
GIP is the ISO 4217 currency code for the Gibraltar pound, the official currency of Gibraltar.
-
D.
Fipa
Fipa is the name of a Bantu-speaking ethnic group primarily inhabiting the Rukwa Region of southwestern Tanzania.
-
E.
GDF
GDF is the Global Drug Facility, an international mechanism that supplies quality-assured medicines and diagnostics to support tuberculosis control and treatment programs worldwide.
- 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_69a88aa1ee708190862c8c378c41e9eb |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc011d50c8190b1c375cc633f8189 |
completed | March 7, 2026, 6:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae655b369c8190a5d12b87401534d7 |
completed | March 9, 2026, 6:14 a.m. |
| NEDg | Description generation | batch_69ae65d4f26481909808c97b95ca9b30 |
completed | March 9, 2026, 6:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae6670b6d88190a09023fae63f4000 |
completed | March 9, 2026, 6:19 a.m. |
Created at: March 4, 2026, 7:46 p.m.