Triple
T4525989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agence France-Presse |
E103378
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
AFP
AFP is a major international news agency based in Paris that provides global news coverage in multiple languages.
|
E450008
|
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: AFP | Statement: [Agence France-Presse, hasAbbreviation, AFP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AFP Context triple: [Agence France-Presse, hasAbbreviation, AFP]
-
A.
AFP
AFP is the unified military organization responsible for the defense and security of the Republic of the Philippines.
-
B.
AFP
AFP (Apple Filing Protocol) is a network protocol developed by Apple for file services and sharing primarily on macOS and classic Mac OS systems.
-
C.
ADF
ADF is the abbreviation for the Australian Defence Force, the unified military organization responsible for defending Australia and its national interests.
-
D.
AF
AF is the two-letter ISO 3166-1 alpha-2 country code assigned to Afghanistan for international standardization and referencing.
-
E.
AF
AF is the two-letter IATA airline designator assigned to Air France, the flag carrier of France.
- 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: AFP Triple: [Agence France-Presse, hasAbbreviation, AFP]
Generated description
AFP is a major international news agency based in Paris that provides global news coverage in multiple languages.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: AFP Target entity description: AFP is a major international news agency based in Paris that provides global news coverage in multiple languages.
-
A.
AFP
AFP (Apple Filing Protocol) is a network protocol developed by Apple for file services and sharing primarily on macOS and classic Mac OS systems.
-
B.
AFP
AFP is the unified military organization responsible for the defense and security of the Republic of the Philippines.
-
C.
ADF
ADF is the abbreviation for the Australian Defence Force, the unified military organization responsible for defending Australia and its national interests.
-
D.
AF
AF is the two-letter ISO 3166-1 alpha-2 country code assigned to Afghanistan for international standardization and referencing.
-
E.
AF
AF is the two-letter IATA airline designator assigned to Air France, the flag carrier of France.
- 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_69bd43dba59881908cf59b31df8c7ae1 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd577490f48190ac1fb3cbf3d8a41e |
completed | March 20, 2026, 2:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bda44fcec48190a1430b4e74ec30fb |
completed | March 20, 2026, 7:47 p.m. |
| NEDg | Description generation | batch_69bda5b564648190ab2badb264910185 |
completed | March 20, 2026, 7:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bda658568c8190bf97e4328e3799be |
completed | March 20, 2026, 7:56 p.m. |
Created at: March 20, 2026, 1:03 p.m.