Triple
T21182126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Museo Cao |
E521976
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Trujillo, Peru |
—
|
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: Trujillo, Peru | Statement: [Museo Cao, near, Trujillo, Peru]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trujillo, Peru Context triple: [Museo Cao, near, Trujillo, Peru]
-
A.
Trujillo
Trujillo is a historic Spanish town in the region of Extremadura, renowned for its well-preserved medieval architecture and impressive main square.
-
B.
Trujillo
Trujillo is a mountainous state in western Venezuela known for its colonial architecture, Andean landscapes, and the iconic Virgen de la Paz monument.
-
C.
Trujillo
chosen
Trujillo is a major coastal city in northwestern Peru known for its colonial architecture, cultural festivals, and proximity to important pre-Columbian archaeological sites.
-
D.
Trujillo
Trujillo is a common Spanish surname associated with various notable individuals, places, and historical figures across the Spanish-speaking world.
-
E.
Carabayllo, Peru
Carabayllo is a populous district in the northern part of Lima, Peru, known for its rapidly growing urban neighborhoods and mix of residential and industrial areas.
- 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.