Triple
T7240047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bolzano |
E155330
|
entity |
| Predicate | river |
P165
|
FINISHED |
| Object | Talvera |
E445282
|
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: Talvera | Statement: [Bolzano, river, Talvera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Talvera Context triple: [Bolzano, river, Talvera]
-
A.
Talvera
chosen
Talvera is a river in northern Italy that flows through South Tyrol and joins the Adige near the city of Bolzano.
-
B.
Villalba
Villalba is a frazione (hamlet) of the municipality of Guidonia Montecelio in the Lazio region of central Italy.
-
C.
Trévélez
Trévélez is a small Spanish mountain village in the Alpujarras region of Granada, renowned for being one of the highest villages in Spain and for its traditional air-cured ham (jamón).
-
D.
Valderrobres
Valderrobres is a historic town in eastern Spain known for its well-preserved medieval architecture, including a hilltop castle and Gothic bridge over the Matarraña River.
-
E.
Peñaranda
Peñaranda is a municipality in the Philippine province of Nueva Ecija, known for its agricultural economy and local cultural traditions.
- 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_69c688143bfc81908d4176617735e601 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ea37fa9081908e9c3abe49d151e5 |
completed | March 27, 2026, 8:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7cc3d75b48190916bf327396f2666 |
completed | March 28, 2026, 12:40 p.m. |
Created at: March 27, 2026, 2:55 p.m.