Triple
T1074396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Normandy |
E23801
|
entity |
| Predicate | containsDepartment |
P1467
|
FINISHED |
| Object | Eure |
E45086
|
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: Eure | Statement: [Normandy, containsDepartment, Eure]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eure Context triple: [Normandy, containsDepartment, Eure]
-
A.
Eure
chosen
Eure is a river in northern France that flows through the regions of Normandy and Centre-Val de Loire before joining the Seine.
-
B.
Ems
The Ems is a river in northwestern Germany that flows through several states before emptying into the North Sea.
-
C.
Rupel
The Rupel is a short river in northern Belgium that flows through the province of Antwerp and joins the Scheldt near the town of Rupelmonde.
-
D.
Eurotas River
The Eurotas River is the principal river of Laconia in the Peloponnese of southern Greece, historically associated with ancient Sparta and flowing into the Laconian Gulf.
-
E.
Rhin
Rhin is the French name for the Rhine, one of Europe’s major rivers flowing through countries such as Switzerland, Germany, and the Netherlands.
- 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_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_69acbad845648190a3ee31506ac1a84c |
completed | March 7, 2026, 11:55 p.m. |
Created at: March 1, 2026, 7:42 p.m.