Triple
T14481605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valle Anzasca |
E359114
|
entity |
| Predicate | drainageBasinOf |
P411
|
FINISHED |
| Object | Anza |
E1100429
|
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: Anza | Statement: [Valle Anzasca, drainageBasinOf, Anza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anza Context triple: [Valle Anzasca, drainageBasinOf, Anza]
-
A.
Anza
chosen
Anza is a river in the Italian Alps that flows through the Valle Anzasca in the Piedmont region.
-
B.
Anza Valley
Anza Valley is a high-desert valley in Southern California known for its rural landscapes, ranching, and historical significance to Indigenous peoples.
-
C.
Anza Vista
Anza Vista is a small residential neighborhood in San Francisco, California, known for its quiet streets, mid-century housing, and proximity to major medical and shopping centers.
-
D.
Anza Trail
Anza Trail is a historic route in the American Southwest and California that commemorates the 18th-century overland expedition led by Juan Bautista de Anza and his settlers.
-
E.
Tortosendo
Tortosendo is a civil parish in the municipality of Covilhã in central Portugal, known historically for its textile industry.
- 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_69d827966698819082e140837737501d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de924bc548819087a2f693840d7426 |
completed | April 14, 2026, 7:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6d8ccd608190afd23c903cd5686a |
completed | May 8, 2026, 4:58 a.m. |
Created at: April 10, 2026, 1:20 a.m.