Triple
T6073006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amboise |
E135329
|
entity |
| Predicate | regionCode |
P208
|
FINISHED |
| Object |
FR-CVL
FR-CVL is the ISO 3166-2 code for Centre-Val de Loire, an administrative region in central France known for its historic châteaux and Loire Valley landscapes.
|
E565931
|
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-CVL | Statement: [Amboise, regionCode, FR-CVL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FR-CVL Context triple: [Amboise, regionCode, FR-CVL]
-
A.
FR-59
FR-59 is the ISO 3166-2 code for Nord, a department in northern France known for its industrial history and proximity to Belgium.
-
B.
FR-63
FR-63 is the ISO 3166-2 code assigned to the Puy-de-Dôme department in central France.
-
C.
FR3
FR3 was a former French public television channel and network that later became part of France Télévisions.
-
D.
FR-61
FR-61 is the ISO 3166-2 code for Orne, a department in the Normandy region of northwestern France.
-
E.
FR-26
FR-26 is the ISO 3166-2 code designating the Drôme department in southeastern 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: FR-CVL Triple: [Amboise, regionCode, FR-CVL]
Generated description
FR-CVL is the ISO 3166-2 code for Centre-Val de Loire, an administrative region in central France known for its historic châteaux and Loire Valley landscapes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FR-CVL Target entity description: FR-CVL is the ISO 3166-2 code for Centre-Val de Loire, an administrative region in central France known for its historic châteaux and Loire Valley landscapes.
-
A.
FR-59
FR-59 is the ISO 3166-2 code for Nord, a department in northern France known for its industrial history and proximity to Belgium.
-
B.
FR-63
FR-63 is the ISO 3166-2 code assigned to the Puy-de-Dôme department in central France.
-
C.
FR3
FR3 was a former French public television channel and network that later became part of France Télévisions.
-
D.
FR-61
FR-61 is the ISO 3166-2 code for Orne, a department in the Normandy region of northwestern France.
-
E.
FR-26
FR-26 is the ISO 3166-2 code designating the Drôme department in southeastern 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_69c00879e8048190b690717d19c5bc03 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05759d29481908912015e734ab943 |
completed | March 22, 2026, 8:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c11d3a37fc81909bbc1cdeec3205cf |
completed | March 23, 2026, 11 a.m. |
| NEDg | Description generation | batch_69c11dc2becc8190991c444357755dec |
completed | March 23, 2026, 11:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c11ed987e08190bf7065d04d9c3a0c |
completed | March 23, 2026, 11:07 a.m. |
Created at: March 22, 2026, 4:11 p.m.