Triple
T1074398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Normandy |
E23801
|
entity |
| Predicate | containsDepartment |
P1467
|
FINISHED |
| Object |
Orne
Orne is a rural department in northwestern France known for its pastoral landscapes, horse breeding, and historic towns such as Alençon.
|
E123324
|
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: Orne | Statement: [Normandy, containsDepartment, Orne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orne Context triple: [Normandy, containsDepartment, Orne]
-
A.
Methil
Methil is a coastal town in eastern Scotland that forms part of the Levenmouth area on the Firth of Forth.
-
B.
Vannin
Vannin is the Manx name for the Isle of Man, a self-governing British Crown dependency in the Irish Sea.
-
C.
Ameln Valley
Ameln Valley is a scenic, palm-filled valley in Morocco’s Anti-Atlas Mountains known for its traditional Berber villages and dramatic red-rock landscapes.
-
D.
Waban
Waban is a village in the city of Newton, Massachusetts, known for its residential character and Green Line D branch MBTA station.
-
E.
Arve River
The Arve River is a glacial river in the Alps that flows through France and Switzerland, notably passing through Geneva before joining the Rhône.
- 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: Orne Triple: [Normandy, containsDepartment, Orne]
Generated description
Orne is a rural department in northwestern France known for its pastoral landscapes, horse breeding, and historic towns such as Alençon.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Orne Target entity description: Orne is a rural department in northwestern France known for its pastoral landscapes, horse breeding, and historic towns such as Alençon.
-
A.
Methil
Methil is a coastal town in eastern Scotland that forms part of the Levenmouth area on the Firth of Forth.
-
B.
Vannin
Vannin is the Manx name for the Isle of Man, a self-governing British Crown dependency in the Irish Sea.
-
C.
Ameln Valley
Ameln Valley is a scenic, palm-filled valley in Morocco’s Anti-Atlas Mountains known for its traditional Berber villages and dramatic red-rock landscapes.
-
D.
Waban
Waban is a village in the city of Newton, Massachusetts, known for its residential character and Green Line D branch MBTA station.
-
E.
Arve River
The Arve River is a glacial river in the Alps that flows through France and Switzerland, notably passing through Geneva before joining the Rhône.
- 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_69a493f1ddf48190a99d54b00e99f8ce |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b92cbfd481909e2f928c1d06ebaa |
completed | March 1, 2026, 10:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac42a9af14819091d4f2578c6b1c02 |
completed | March 7, 2026, 3:22 p.m. |
| NEDg | Description generation | batch_69ac434b7ea081909d5608831e29b5a9 |
completed | March 7, 2026, 3:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac43b393748190a5fa81b7ab7fa911 |
completed | March 7, 2026, 3:26 p.m. |
Created at: March 1, 2026, 7:42 p.m.