Triple
T19987128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valdelsa |
E493962
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Val d’Elsa Senese |
—
|
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: Val d’Elsa Senese | Statement: [Valdelsa, contains, Val d’Elsa Senese]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Val d’Elsa Senese Context triple: [Valdelsa, contains, Val d’Elsa Senese]
-
A.
Val d'Elsa
chosen
Val d'Elsa is a scenic area of Tuscany in central Italy, known for its medieval hill towns, vineyards, and rolling countryside.
-
B.
Val di Chiana
Val di Chiana is a fertile valley in central Italy, spanning parts of Tuscany and Umbria, known for its agriculture, historic hill towns, and scenic landscapes.
-
C.
Marecchia Valley
Marecchia Valley is a scenic river valley in the Emilia-Romagna region of Italy, known for its rolling hills, historic villages, and views stretching toward the Adriatic coast.
-
D.
Valdelsa
Valdelsa is a historical valley area in Tuscany, Italy, known for its medieval hill towns, agricultural landscapes, and cultural heritage.
-
E.
Bassa Valdelsa
Bassa Valdelsa is the lower part of the Valdelsa area in Tuscany, Italy, known for its historic towns, rolling countryside, and wine-producing landscapes.
- 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_69da626a67648190af9653832a3aeced |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65fdd1a5c8190af756632aac38bf4 |
completed | April 20, 2026, 5:18 p.m. |
Created at: April 11, 2026, 3:29 p.m.