Triple
T14306994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sør-Aurdal |
E354723
|
entity |
| Predicate | hasVillage |
P4011
|
FINISHED |
| Object | Bagn |
E1090952
|
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: Bagn | Statement: [Sør-Aurdal, hasVillage, Bagn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bagn Context triple: [Sør-Aurdal, hasVillage, Bagn]
-
A.
Bagn
chosen
Bagn is a small village in Innlandet county, Norway, known as the main local hub of the Sør-Aurdal municipality in the Valdres region.
-
B.
Bages
Bages is a small commune in the Pyrénées-Orientales department of southern France, known for its traditional village character and proximity to the Mediterranean coast.
-
C.
Bages
Bages is a central comarca (county) in Catalonia, Spain, known for its historic town of Manresa and its mix of industrial, agricultural, and natural landscapes.
-
D.
Bago
Bago is a component city in the province of Negros Occidental in the Philippines, known for its agricultural economy and historical significance.
-
E.
Bago
Bago is a historic city in southern Myanmar known for its ancient Buddhist monuments and proximity to Yangon.
- 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_69d8278ed42c8190b9f882dcce611347 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de85b156b0819083f2bd319deed1b6 |
completed | April 14, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4684e2648190b46328252ac9d51b |
completed | May 8, 2026, 2:12 a.m. |
Created at: April 10, 2026, 1:12 a.m.