Triple
T7017887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sistan and Baluchestan Province |
E162740
|
entity |
| Predicate | hasSmugglingRoutes |
P75275
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Sistan and Baluchestan Province, hasSmugglingRoutes, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSmugglingRoutes Context triple: [Sistan and Baluchestan Province, hasSmugglingRoutes, true]
-
A.
hasBorderCrossingFunction
Indicates that an entity serves as a location or facility where people, goods, or vehicles can legally cross a border between jurisdictions.
-
B.
hasBorderCrossing
Indicates that there exists a point or facility where movement or transit is possible between the boundaries of two adjacent regions or jurisdictions.
-
C.
hasSeaRouteConnection
Indicates that there exists a navigable maritime route linking two locations or entities.
-
D.
includesTradeRoute
Indicates that one entity contains, encompasses, or makes use of a particular trade route within its scope or structure.
-
E.
hasCustomsAndImmigration
Indicates that customs and immigration control services are present or provided at a given location or facility.
- 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_69c6885a127c8190867b059bdccf13ff |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e5ecd4488190bf19e42de55da98b |
completed | March 27, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69c6e1b8118481909d76eb6616160e80 |
completed | March 27, 2026, 7:59 p.m. |
| PDg | Predicate description generation | batch_69c6e5eb904481909a900e2ba9df710b |
completed | March 27, 2026, 8:17 p.m. |
Created at: March 27, 2026, 2:34 p.m.