Triple
T19805733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Niebla Fort |
E475805
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Niebla |
—
|
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: Niebla | Statement: [Niebla Fort, locatedIn, Niebla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Niebla Context triple: [Niebla Fort, locatedIn, Niebla]
-
A.
Niebla
Niebla is a landmark 1914 novel by Spanish writer Miguel de Unamuno that blends fiction and philosophy in a metafictional exploration of identity, free will, and the nature of literary creation.
-
B.
Niebla
chosen
Niebla is a historic town in the province of Huelva, Spain, known for its well-preserved medieval walls and strategic importance in Andalusian history.
-
C.
Nebel
Nebel is a small river in Bavaria, Germany, known for its strategic role as part of the battlefield terrain during the 1704 Battle of Blenheim in the War of the Spanish Succession.
-
D.
Nebel
Nebel is a small, picturesque village on the North Sea island of Amrum in Germany, known for its traditional thatched houses and coastal scenery.
-
E.
Fog
"Fog" is a brief, imagistic poem by Carl Sandburg that famously compares fog to a silent cat, exemplifying his modern, accessible style.
- 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_69d8e51bc4208190a1c57d8c5d1b15e4 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65428081c8190b394c442f4c2a9a6 |
completed | April 20, 2026, 4:28 p.m. |
Created at: April 10, 2026, 1:49 p.m.