Triple
T6932632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chaman |
E160472
|
entity |
| Predicate | isMajorTransitPointFor |
P74351
|
FINISHED |
| Object | trade between Pakistan and Afghanistan |
—
|
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: trade between Pakistan and Afghanistan | Statement: [Chaman, isMajorTransitPointFor, trade between Pakistan and Afghanistan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMajorTransitPointFor Context triple: [Chaman, isMajorTransitPointFor, trade between Pakistan and Afghanistan]
-
A.
isMajorTransportLinkIn
Indicates that a transport route or connection serves as a primary or significant transportation link within a specified area or region.
-
B.
isPublicTransportStation
Indicates that a location functions as a station or stop used by public transportation services such as buses, trains, trams, or subways.
-
C.
hasPublicTransitRole
Indicates that an entity holds a specific functional role or responsibility within a public transit system.
-
D.
isMajorStationOn
Indicates that a station serves as a primary or significant stop on a particular route or line.
-
E.
hasMajorRailLinksTo
Indicates that there are significant railway connections or routes between two locations.
- 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_69c6884e15208190b9e91487eaafcf85 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e0c74fe48190aeaa018631e52ef6 |
completed | March 27, 2026, 7:55 p.m. |
| PD | Predicate disambiguation | batch_69c6d7bd5a388190a57a96d925696ff6 |
completed | March 27, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69c6e0c620f0819080e0ec49b36d4c30 |
completed | March 27, 2026, 7:55 p.m. |
Created at: March 27, 2026, 2:27 p.m.