Triple
T4061198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karakoram Highway |
E86213
|
entity |
| Predicate | tunnelFeature |
P21069
|
FINISHED |
| Object | includes tunnels near Attabad Lake |
—
|
LITERAL 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: includes tunnels near Attabad Lake | Statement: [Karakoram Highway, tunnelFeature, includes tunnels near Attabad Lake]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tunnelFeature Context triple: [Karakoram Highway, tunnelFeature, includes tunnels near Attabad Lake]
-
A.
tunnelType
Indicates the specific kind or classification of a tunnel associated with an entity.
-
B.
usesTunnel
Indicates that one entity makes use of a tunnel as a passage or route to reach or connect to another entity.
-
C.
hasTunnel
chosen
Indicates that one entity possesses, contains, or is connected by a tunnel to another entity.
-
D.
partOfTunnel
Indicates that one entity forms a physical segment or component within the structure or extent of a tunnel.
-
E.
tunnelName
Indicates the name assigned to a specific tunnel in the relationship or data model.
- F. None of above.
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_69aed93c69208190a4efac0efe3cd69b |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefd0bdea48190805a79515ee92709 |
completed | March 9, 2026, 5:02 p.m. |
| PD | Predicate disambiguation | batch_69aef90438908190a005b08ba271eacf |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:38 p.m.