Triple
T12395098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Region of Ica |
E296096
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Pisco |
E284238
|
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: Pisco | Statement: [Region of Ica, containsCity, Pisco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pisco Context triple: [Region of Ica, containsCity, Pisco]
-
A.
Pisco
chosen
Pisco is a coastal city in southern Peru known for its nearby vineyards, production of the Pisco spirit, and proximity to the Paracas National Reserve.
-
B.
Pisco Elqui
Pisco Elqui is a small village in Chile’s Elqui Valley, known for its clear skies, Andean scenery, and production of the traditional grape spirit pisco.
-
C.
Angostura
Angostura is a coastal municipality in the Mexican state of Sinaloa, known for its fishing activities and agricultural production.
-
D.
Angostura
Angostura is the former name of Ciudad Bolívar, a historic city on the Orinoco River in southeastern Venezuela known for its colonial architecture and role in the Venezuelan War of Independence.
-
E.
Ginjinha
Ginjinha is a traditional Portuguese liqueur made from sour cherries, sugar, and alcohol, typically enjoyed as a small shot in bars and cafés.
- 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_69d6ad9e653c8190b1473c860ee53dae |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d93fd33f048190b205fd21dc513f6a |
completed | April 10, 2026, 6:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6347e27b4819085494babfe180488 |
completed | May 2, 2026, 5:29 p.m. |
Created at: April 8, 2026, 9:54 p.m.