Triple
T21182125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Museo Cao |
E521976
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Magdalena de Cao district |
—
|
NE NERFINISHED |
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: Magdalena de Cao district | Statement: [Museo Cao, locatedIn, Magdalena de Cao district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Magdalena de Cao district Context triple: [Museo Cao, locatedIn, Magdalena de Cao district]
-
A.
Magdalena de Cao District
chosen
Magdalena de Cao District is a coastal district in northern Peru’s La Libertad region, notable for its important Moche archaeological site Huaca Cao Viejo and the nearby El Brujo complex.
-
B.
Végueta District
Végueta District is an administrative district located in Huaura Province in the Lima Region of Peru, known for its coastal setting and agricultural activities.
-
C.
El Carmen District
El Carmen District is an administrative subdivision in Peru’s Chincha Province, known for its strong Afro-Peruvian cultural heritage and traditions.
-
D.
Caja District
Caja District is an administrative district located within Acobamba Province in the Huancavelica region of central Peru.
-
E.
Olaya District
Olaya District is a prominent commercial and business area in Riyadh, Saudi Arabia, known for its modern skyscrapers, luxury hotels, and major shopping centers.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b50ef1d48190b063aa342667df22 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7301eb3248190b9f6fc1586651fec |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 3:04 p.m.