Triple
T4146977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sandwich Harbour |
E89808
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Namib Desert |
E14396
|
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: Namib Desert | Statement: [Sandwich Harbour, locatedIn, Namib Desert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Namib Desert Context triple: [Sandwich Harbour, locatedIn, Namib Desert]
-
A.
Namib Desert
chosen
The Namib Desert is a vast, ancient coastal desert in southwestern Africa, renowned for its towering red sand dunes and extreme arid conditions along the Atlantic coast.
-
B.
Kalahari Desert
The Kalahari Desert is a vast semi-arid sandy savanna in southern Africa known for its red dunes, sparse vegetation, and unique wildlife adapted to its dry conditions.
-
C.
Kalimari Desert
Kalimari Desert is a Wild West–themed racetrack in the Mario Kart series, characterized by its sandy terrain and a central railroad crossing with an active train obstacle.
-
D.
Błędów Desert
Błędów Desert is a rare inland sand desert in southern Poland, known for its extensive dunes and unique, almost desert-like landscape.
-
E.
Sahara Desert
The Sahara Desert is the world’s largest hot desert, spanning much of North Africa with vast sand seas, rocky plateaus, and extreme arid conditions.
- 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_69aed95a59a881909b26e70b42c6811a |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af026130bc8190ae3b0e9bec5ccad6 |
completed | March 9, 2026, 5:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5c6feae608190b677362d9c734165 |
completed | March 14, 2026, 8:37 p.m. |
Created at: March 9, 2026, 3:43 p.m.