Triple
T4036437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aisne |
E83838
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Nord |
E70209
|
NE FINISHED |
How this triple was built (2 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: Nord | Statement: [Aisne, borders, Nord]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nord Context triple: [Aisne, borders, Nord]
-
A.
Nord
chosen
Nord is a department in northern France known for its industrial heritage, dense population, and proximity to Belgium.
-
B.
Norden
Norden is a suburban village and residential area within the Metropolitan Borough of Rochdale in Greater Manchester, England.
-
C.
Norden
Norden is a historic coastal town in northern Germany’s East Frisia region, known for its North Sea proximity and traditional Frisian character.
-
D.
Nordis
Nordis is the popular nickname for Helsinki Ice Hall, a major indoor arena in Helsinki, Finland, best known as the longtime home venue of the HIFK ice hockey team.
-
E.
Noorden
Noorden is a village in the Dutch province of South Holland, known for its rural character and surrounding lakes and peatland nature reserves.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69aed92f7cf0819098e0539bdcc3767f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb349e648190b9f227df4cd76fa0 |
completed | March 9, 2026, 4:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b556415ebc8190a528c7e22dbf70df |
completed | March 14, 2026, 12:36 p.m. |
Created at: March 9, 2026, 3:36 p.m.