Triple
T16860965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karakoram River valleys |
E409907
|
entity |
| Predicate | crossedBy |
P416
|
FINISHED |
| Object | Sia La |
E937138
|
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: Sia La | Statement: [Karakoram River valleys, crossedBy, Sia La]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sia La Context triple: [Karakoram River valleys, crossedBy, Sia La]
-
A.
Sia La
chosen
Sia La is a high mountain pass in the eastern Karakoram, strategically located near the Siachen Glacier in the disputed India–Pakistan border region.
-
B.
Sia
Sia is an Australian singer-songwriter and pop artist known for her powerful vocals, emotive songwriting, and distinctive visual style featuring face-obscuring wigs.
-
C.
Simaria
Simaria is a Brazilian singer best known as one half of the sertanejo duo Simone & Simaria, recognized for their popular hits in Brazil’s contemporary country and pop music scene.
-
D.
SIA
SIA is the ICAO airline designator used to identify Singapore Airlines in international aviation operations and communications.
-
E.
SIA
SIA is the commonly used abbreviation for the Security Industry Authority, the regulatory body overseeing the private security industry in the United Kingdom.
- 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_69d88395e6c88190b22730f335107c14 |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b502bc048190baa5a83015407080 |
completed | April 18, 2026, 4:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00bb274ba48190951acde0821e05a0 |
completed | May 10, 2026, 5:06 p.m. |
Created at: April 10, 2026, 5:24 a.m.