Triple
T21914180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pacific coast of Peru |
E541139
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Chimbote |
E297760
|
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: Chimbote | Statement: [Pacific coast of Peru, hasMajorCity, Chimbote]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chimbote Context triple: [Pacific coast of Peru, hasMajorCity, Chimbote]
-
A.
Chimbote
chosen
Chimbote is a coastal city in north-central Peru known for its fishing industry and port on the Pacific Ocean.
-
B.
Arequipa
Arequipa is Peru’s second-largest city, known for its colonial architecture built from white volcanic stone and its dramatic setting beneath the Misti volcano.
-
C.
Chivay
Chivay is a small Andean town in southern Peru that serves as the main gateway and service hub for visitors to the Colca Canyon.
-
D.
Talara
Talara is a coastal city in northwestern Peru known for its important oil industry and nearby Pacific beaches.
-
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_69e0c47c4b9c8190a5586a75f5f36453 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f123359e1c8190a606a92c5bcb58e8 |
completed | April 28, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a6d696b748190ae70ff3f81528e6e |
completed | May 18, 2026, 1:37 a.m. |
Created at: April 16, 2026, 7:42 p.m.