Triple
T2483273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hunza Valley |
E55867
|
entity |
| Predicate | near |
P350
|
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: [Hunza Valley, near, Passu Cones]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Passu Cones Context triple: [Hunza Valley, near, 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.
Cone
Cone is a surname most notably associated with David Cone, a former Major League Baseball pitcher and five-time World Series champion.
-
C.
Corkscrew
Corkscrew is a steel roller coaster at Michigan’s Adventure known for its signature double-inversion corkscrew elements.
-
D.
Conches
Conches is a locality near Geneva, Switzerland, known historically as the birthplace of the pioneering Alpine scientist Horace Bénédict de Saussure.
-
E.
Pericos
Pericos is the popular nickname for Spanish football club RCD Espanyol and its supporters.
- 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_69ab49e670a88190b928e08302381710 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd1644b5881908d2931a1dfbbd03b |
completed | March 7, 2026, 7:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af17b48d0881909442717d318a6f05 |
completed | March 9, 2026, 6:55 p.m. |
Created at: March 6, 2026, 9:45 p.m.