Triple
T4211427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lima culture period |
E93909
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | city of Lima |
E2605
|
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: city of Lima | Statement: [Lima culture period, namedAfter, city of Lima]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: city of Lima Context triple: [Lima culture period, namedAfter, city of Lima]
-
A.
Lima
chosen
Lima is the capital and largest city of Peru, known as a major political, economic, and cultural center on South America's Pacific coast.
-
B.
San Miguel district, Lima
San Miguel district, Lima is a coastal urban district of Peru’s capital city known for its residential areas, shopping centers, and educational institutions.
-
C.
Chiclayo
Chiclayo is a major commercial and transportation hub in northern Peru, known for its nearby archaeological sites and vibrant regional culture.
-
D.
Cono Sur of Lima
Cono Sur of Lima is a southern sector of Peru’s capital city that encompasses several coastal and inland districts, including Chorrillos, and is known for its mix of urban neighborhoods and growing residential areas.
-
E.
Juliaca
Juliaca is a major commercial and transportation hub in southern Peru, known for its bustling markets and proximity to Lake Titicaca.
- 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_69b3451743608190808f41d17ccf2650 |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b3481219a08190b17bf3b414bd7d4a |
completed | March 12, 2026, 11:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6509a86a081908435094d0e80e9f4 |
completed | March 15, 2026, 6:24 a.m. |
Created at: March 12, 2026, 11:04 p.m.