Triple
T16861003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karakoram Highway |
E409908
|
entity |
| Predicate | lengthInPakistan |
P125266
|
FINISHED |
| Object | about 806 kilometres |
—
|
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: about 806 kilometres | Statement: [Karakoram Highway, lengthInPakistan, about 806 kilometres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lengthInPakistan Context triple: [Karakoram Highway, lengthInPakistan, about 806 kilometres]
-
A.
isInPakistan
Indicates that the subject is located within the geographical boundaries of Pakistan.
-
B.
lengthInPoland
Indicates that the specified length measurement is taken within the context or territory of Poland.
-
C.
rankByLengthInIndia
Indicates an ordering of items based on their length specifically within the context or boundaries of India.
-
D.
areaRankInPakistan
Indicates the relative position of an entity when all entities in Pakistan are ordered by their area size.
-
E.
distanceToLahore_km
Indicates the physical distance, measured in kilometers, between a given entity’s location and the city of Lahore.
- F. None of above. chosen
Provenance (4 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. |
| PD | Predicate disambiguation | batch_69e32b8cbb048190878a259cc5be960e |
completed | April 18, 2026, 6:58 a.m. |
| PDg | Predicate description generation | batch_69e355722040819098830dabf207ecd6 |
completed | April 18, 2026, 9:57 a.m. |
Created at: April 10, 2026, 5:24 a.m.