Triple
T22262664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Somme region |
E550266
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object | Bapaume |
—
|
NE NERFINISHED |
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: Bapaume | Statement: [Somme region, containsTown, Bapaume]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bapaume Context triple: [Somme region, containsTown, Bapaume]
-
A.
Bapaume
chosen
Bapaume is a small historic town in northern France, known for its medieval heritage and its strategic role in several major European conflicts.
-
B.
Beaumains
Beaumains is the nickname given to Sir Gareth, a knight of the Round Table in Arthurian legend known for his humble beginnings and later heroic deeds.
-
C.
Beaunoir
Beaunoir is a rare white wine grape variety, historically cultivated in parts of Europe and known primarily through its role in old viticultural lineages.
-
D.
Gouvieux
Gouvieux is a commune in northern France known for hosting the French residence of Aga Khan IV, Shah Karim al-Husayni.
-
E.
Breteuil
Breteuil is a commune in northern France that serves as a local administrative and service hub for its surrounding rural area.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e42adb8819087714772ea606709 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f141b94a688190b17c55477993a745 |
completed | April 28, 2026, 11:24 p.m. |
Created at: April 16, 2026, 8:39 p.m.