Triple
T17056178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dakar Department |
E413825
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Yoff |
E420455
|
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: Yoff | Statement: [Dakar Department, contains, Yoff]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yoff Context triple: [Dakar Department, contains, Yoff]
-
A.
Yoff
chosen
Yoff is a coastal commune and suburb of Dakar, Senegal, known for its fishing community and beaches along the Atlantic Ocean.
-
B.
Zoff
Zoff is the surname of Dino Zoff, the legendary Italian goalkeeper and World Cup–winning captain.
-
C.
Yar
Yar is a Neanderthal father and tribal leader in the animated film "Dinosaur" (2000), known for his protective and sometimes gruff demeanor toward his family and adopted son Aladar.
-
D.
Yudof
Yudof is the surname of Mark Yudof, an American law professor and former president of the University of California system.
-
E.
Yoron
Yoron is a small subtropical island town in Japan’s Kagoshima Prefecture, known for its coral reefs, white-sand beaches, and traditional Ryukyuan-influenced culture.
- 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_69d886cde3d481908d4d01ba88ba7eb7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3db7934e881909e9f0ae956fb0816 |
completed | April 18, 2026, 7:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012346bcfc819093cd922baa94e186 |
completed | May 11, 2026, 12:31 a.m. |
Created at: April 10, 2026, 5:34 a.m.