Triple
T21688170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Puyehue (commune) |
E535286
|
entity |
| Predicate | hasCapital |
P204
|
FINISHED |
| Object | Entre Lagos |
—
|
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: Entre Lagos | Statement: [Puyehue (commune), hasCapital, Entre Lagos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Entre Lagos Context triple: [Puyehue (commune), hasCapital, Entre Lagos]
-
A.
Entre Lagos
chosen
Entre Lagos is a small lakeside town in southern Chile known as a gateway to the Puyehue and Rupanco lake region and nearby Andean landscapes.
-
B.
Omkara
Omkara is a critically acclaimed 2006 Indian crime drama film directed by Vishal Bhardwaj, adapted from Shakespeare’s Othello and known for its intense performances and rustic Uttar Pradesh setting.
-
C.
Ojo
Ojo is a central character in L. Frank Baum’s Oz series, notably a Munchkin boy whose quest drives the plot of "The Patchwork Girl of Oz."
-
D.
Ojo
Ojo is a suburban local government area in Lagos State, Nigeria, known for its rapidly growing residential communities and the presence of institutions like Lagos State University.
-
E.
Yaba
Yaba is a bustling commercial and residential district on Lagos Mainland in Nigeria, known for its markets, educational institutions, and growing tech startup scene.
- 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_69e0c469b6ec8190aee4cadd1527db91 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef96cd51d481908df67e4f69826b06 |
completed | April 27, 2026, 5:03 p.m. |
Created at: April 16, 2026, 6:44 p.m.