Triple
T10316286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | modern Peru |
E242022
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Trujillo |
E22210
|
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: Trujillo | Statement: [modern Peru, contains, Trujillo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trujillo Context triple: [modern Peru, contains, Trujillo]
-
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
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.
-
C.
Trujillo
Trujillo is a common Spanish surname associated with various notable individuals, places, and historical figures across the Spanish-speaking world.
-
D.
Santiago de Veraguas
Santiago de Veraguas is a principal urban and commercial center in western Panama and the capital of Veraguas Province.
-
E.
Chiclayo
Chiclayo is a major commercial and transportation hub in northern Peru, known for its nearby archaeological sites and vibrant regional culture.
- 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_69d381ac38808190a8ca7457c85b625b |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d35c39148190ab2622a2204aca3b |
completed | April 7, 2026, 9:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71d8de9488190ae003231dccd0c8f |
completed | April 9, 2026, 3:31 a.m. |
Created at: April 6, 2026, 11:49 a.m.