Triple
T11456670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hussaini |
E271544
|
entity |
| Predicate | hasViewOf |
P854
|
FINISHED |
| Object | Passu Cones |
E52707
|
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: Passu Cones | Statement: [Hussaini, hasViewOf, Passu Cones]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Passu Cones Context triple: [Hussaini, hasViewOf, Passu Cones]
-
A.
Passu Cones
chosen
Passu Cones are a striking group of sharply pointed mountain peaks in Pakistan’s Hunza Valley, renowned for their dramatic, jagged skyline within the Karakoram range.
-
B.
Giant Cone
Giant Cone is a popular Japanese ice cream brand known for its large, cone-shaped treats produced by Ezaki Glico.
-
C.
Cone
Cone is a surname most notably associated with David Cone, a former Major League Baseball pitcher and five-time World Series champion.
-
D.
Cone Collection
The Cone Collection is a renowned assemblage of modern art, particularly strong in works by Matisse and Picasso, housed at the Baltimore Museum of Art.
-
E.
Four-in-One Cone
Four-in-One Cone is a clustered volcanic cinder cone feature within Oregon’s Three Sisters volcanic complex, formed by closely spaced vents that produced overlapping cones.
- 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_69d6aadff8888190a13f253f0d460874 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d81c71b1208190be1d5623d18e0222 |
completed | April 9, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e6248d0db881909999049356f53ff6 |
completed | April 20, 2026, 1:05 p.m. |
Created at: April 8, 2026, 9:35 p.m.