Triple
T2638189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ica Region |
E62797
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Ica Province |
E284236
|
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: Ica Province | Statement: [Ica Region, contains, Ica Province]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ica Province Context triple: [Ica Region, contains, Ica Province]
-
A.
Ica Region
The Ica Region is a coastal department in southern Peru known for its desert landscapes, vineyards, and archaeological sites including the Nazca Lines.
-
B.
Ica
chosen
Ica is a city in southern Peru known for its desert landscape, nearby Huacachina oasis, and production of pisco and wine.
-
C.
Yauyos Province
Yauyos Province is an inland administrative division of Peru known for its high Andean landscapes, traditional Quechua-speaking communities, and part of the Nor Yauyos-Cochas scenic reserve.
-
D.
Lima Province
Lima Province is the coastal Peruvian province that contains the nation’s capital city, Lima, serving as the country’s main political, economic, and cultural hub.
-
E.
Babahoyo
Babahoyo is a city in western Ecuador that serves as the capital of Los Ríos Province and an important agricultural and commercial center.
- 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_69ab4c3f2dcc819082df80f5e032f690 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abd8e470ac8190bd0d6de6805afcd0 |
completed | March 7, 2026, 7:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af98bb55f08190bb072c9b106aa748 |
completed | March 10, 2026, 4:06 a.m. |
Created at: March 6, 2026, 9:53 p.m.