Triple
T18788753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El Invunche |
E459448
|
entity |
| Predicate | nameVariant |
P744
|
FINISHED |
| Object | Imbunche |
—
|
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: Imbunche | Statement: [El Invunche, nameVariant, Imbunche]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Imbunche Context triple: [El Invunche, nameVariant, Imbunche]
-
A.
Imbunche
chosen
Imbunche is a grotesquely deformed creature from Chilean mythology, often depicted as a twisted guardian of witches’ caves on the island of Chiloé.
-
B.
Imbaba
Imbaba is a densely populated working-class district in the Giza Governorate of Greater Cairo, known for its informal urban development and vibrant local markets.
-
C.
Yambu
Yambu is a coastal city in western Saudi Arabia on the Red Sea, known as an important port and industrial center.
-
D.
Morungaba
Morungaba is a small municipality in the state of São Paulo, Brazil, known for its rural landscapes and integration into the economically significant Campinas metropolitan area.
-
E.
Minbu
Minbu is a town in central Myanmar known for its hot springs and location along the Irrawaddy River in the Magway Region.
- 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_69d8d396f54c8190ba49db31e8743842 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e59784c5988190851755b7f47835e5 |
completed | April 20, 2026, 3:03 a.m. |
Created at: April 10, 2026, 11:53 a.m.