Triple
T23284914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maggia Valley |
E588959
|
entity |
| Predicate | hasVillage |
P4011
|
FINISHED |
| Object | Bignasco |
—
|
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: Bignasco | Statement: [Maggia Valley, hasVillage, Bignasco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bignasco Context triple: [Maggia Valley, hasVillage, Bignasco]
-
A.
Bignasco
chosen
Bignasco is a small village in the canton of Ticino in southern Switzerland, known for its Alpine setting in the Maggia Valley.
-
B.
Borgotaro
Borgotaro is a town and municipality in the Emilia-Romagna region of northern Italy, known for its surrounding Apennine landscapes and prized porcini mushrooms.
-
C.
Bussolengo
Bussolengo is a town and comune in the Veneto region of northern Italy, situated near Verona and known for its agricultural activities and proximity to Lake Garda.
-
D.
Zasole
Zasole is a village in southern Poland located near the town of Brzeszcze in the Lesser Poland region.
-
E.
Arzignano
Arzignano is an Italian town in the Veneto region known for its leather tanning industry and manufacturing activities.
- 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_69e25d16e2c08190a291de254703129e |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1964600888190b40ecbefdc8aec64 |
completed | April 29, 2026, 5:25 a.m. |
Created at: April 17, 2026, 4:59 p.m.