Triple
T2816556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | China–Pakistan border |
E54300
|
entity |
| Predicate | openedToRegularTrafficYear |
P16836
|
FINISHED |
| Object | 1982 |
—
|
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: 1982 | Statement: [China–Pakistan border, openedToRegularTrafficYear, 1982]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openedToRegularTrafficYear Context triple: [China–Pakistan border, openedToRegularTrafficYear, 1982]
-
A.
openedToRoadTraffic
chosen
Indicates that something, such as a structure or route, has begun allowing regular use by vehicles or road users.
-
B.
openedToRailTraffic
Indicates that a rail line, track, or related infrastructure has begun operating and is officially available for use by train traffic.
-
C.
openedForCommercialService
Indicates that something (such as a facility, route, or service) began operating and became available for regular commercial use.
-
D.
travelTimeAfterOpening
Indicates the amount of time required to travel between specified points, measured from the moment a referenced entity (such as a facility or route) becomes open or available.
-
E.
openedAsTollBridge
Indicates that a bridge was initially opened to traffic as a toll bridge, requiring users to pay a fee to cross.
- 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_69ab49de0af08190b3da69683be1e728 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abde4ed4ac81909f1ec4a3f7869bc1 |
completed | March 7, 2026, 8:14 a.m. |
| PD | Predicate disambiguation | batch_69abdd0740208190911dc9c9546a79ae |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 9:59 p.m.