Triple
T11325119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Serris |
E268191
|
entity |
| Predicate | countryCode |
P208
|
FINISHED |
| Object |
FR
FR is the ISO 3166-1 alpha-2 country code for France, a major European nation known for its rich culture, history, and global influence.
|
E919231
|
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: FR | Statement: [Serris, countryCode, FR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FR Context triple: [Serris, countryCode, FR]
-
A.
FR
FR is the Swiss vehicle registration code for the canton of Fribourg.
-
B.
FR
FR is the vehicle registration code for the Freiburg im Breisgau district in the German state of Baden-Württemberg.
-
C.
FR
FR is the IATA airline designator used to identify Ryanair flights.
-
D.
FR-EE
FR-EE is an international architecture and design firm known for its innovative, futuristic projects and urban-scale developments led by Mexican architect Fernando Romero.
-
E.
French
French is a Romance language that evolved from Latin and is now spoken worldwide as both a native and official language in many countries.
- 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: FR Triple: [Serris, countryCode, FR]
Generated description
FR is the ISO 3166-1 alpha-2 country code for France, a major European nation known for its rich culture, history, and global influence.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FR Target entity description: FR is the ISO 3166-1 alpha-2 country code for France, a major European nation known for its rich culture, history, and global influence.
-
A.
FR
FR is the IATA airline designator used to identify Ryanair flights.
-
B.
FR
FR is the Swiss vehicle registration code for the canton of Fribourg.
-
C.
FR
FR is the vehicle registration code for the Freiburg im Breisgau district in the German state of Baden-Württemberg.
-
D.
FR-EE
FR-EE is an international architecture and design firm known for its innovative, futuristic projects and urban-scale developments led by Mexican architect Fernando Romero.
-
E.
French
French is a Romance language that evolved from Latin and is now spoken worldwide as both a native and official language in many countries.
- 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_69d6aacb1f0881908c84a349fd1be047 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9e122e48190b3f890de8d561480 |
completed | April 9, 2026, 6:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e525fb8d74819089d1505d1f0f116c |
completed | April 19, 2026, 6:59 p.m. |
| NEDg | Description generation | batch_69e52c82b6108190aec9b6e9d726f803 |
completed | April 19, 2026, 7:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e531c2a4b88190bb1efd57536bae9a |
completed | April 19, 2026, 7:49 p.m. |
Created at: April 8, 2026, 9:32 p.m.