Triple
T6341592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Réunion Creole |
E142637
|
entity |
| Predicate | hasISOCode |
P189
|
FINISHED |
| Object |
rcf
rcf is the ISO 639-3 language code for Réunion Creole, a French-based creole language spoken primarily on Réunion Island in the Indian Ocean.
|
E586215
|
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: rcf | Statement: [Réunion Creole, hasISOCode, rcf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: rcf Context triple: [Réunion Creole, hasISOCode, rcf]
-
A.
RCF
RCF is a historic French multi-sport club based in Paris, best known for its football and rugby sections.
-
B.
RIF
RIF (Rule Interchange Format) is a W3C standard designed to enable the exchange and interoperability of rules across different Semantic Web systems and rule engines.
-
C.
RCM
RCM is a Canadian Earth observation satellite constellation that uses radar imaging to monitor environmental changes, maritime activity, and national security.
-
D.
RCN
RCN is the abbreviation for the Royal Canadian Navy, the maritime warfare branch of Canada’s armed forces.
-
E.
RCN
RCN is the commonly used abbreviation for the Research Council of Norway, the national body responsible for funding and promoting research and innovation in Norway.
- 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: rcf Triple: [Réunion Creole, hasISOCode, rcf]
Generated description
rcf is the ISO 639-3 language code for Réunion Creole, a French-based creole language spoken primarily on Réunion Island in the Indian Ocean.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: rcf Target entity description: rcf is the ISO 639-3 language code for Réunion Creole, a French-based creole language spoken primarily on Réunion Island in the Indian Ocean.
-
A.
RCF
RCF is a historic French multi-sport club based in Paris, best known for its football and rugby sections.
-
B.
RIF
RIF (Rule Interchange Format) is a W3C standard designed to enable the exchange and interoperability of rules across different Semantic Web systems and rule engines.
-
C.
RCM
RCM is a Canadian Earth observation satellite constellation that uses radar imaging to monitor environmental changes, maritime activity, and national security.
-
D.
RCN
RCN is the abbreviation for the Royal Canadian Navy, the maritime warfare branch of Canada’s armed forces.
-
E.
RCN
RCN is the commonly used abbreviation for the Research Council of Norway, the national body responsible for funding and promoting research and innovation in Norway.
- 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_69c008d5ab108190b346c465696824a9 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0674445748190bce2d638048be77c |
completed | March 22, 2026, 10:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6043afb4081908d480ad868625909 |
completed | March 27, 2026, 4:14 a.m. |
| NEDg | Description generation | batch_69c605eb80308190b2c2f0d1f35b060d |
completed | March 27, 2026, 4:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6065044908190b2ba71490a3bae54 |
completed | March 27, 2026, 4:23 a.m. |
Created at: March 22, 2026, 4:30 p.m.