Triple
T25114975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spin Boldak |
E629101
|
entity |
| Predicate | partOfTradeAxis |
P81237
|
FINISHED |
| Object | Afghanistan–Pakistan transit trade |
—
|
NE NERFINISHED |
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: Afghanistan–Pakistan transit trade | Statement: [Spin Boldak, partOfTradeAxis, Afghanistan–Pakistan transit trade]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfTradeAxis Context triple: [Spin Boldak, partOfTradeAxis, Afghanistan–Pakistan transit trade]
-
A.
tradeAspect
Indicates a relationship where one entity is associated with a specific aspect, feature, or dimension of a trade or commercial transaction.
-
B.
tradePartnerRegion
Indicates that one entity engages in trade with partners located in a specified geographic region.
-
C.
hasRegionalTrade
Indicates that there is an ongoing or established trade relationship between two regions or territorial entities.
-
D.
tradeBloc
Indicates a formal economic relationship in which entities participate together in a trade bloc, coordinating trade policies and often reducing barriers to commerce among members.
-
E.
borderTradeType
chosen
Indicates the specific category or nature of trade that occurs across a border between two regions or countries.
- 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_69e2ff3169d08190973b6061d5009abd |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f6691f5e188190b12c7b2eb729a45e |
completed | May 2, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69f66598d6008190a7ca8ff80399fd34 |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 18, 2026, 6:27 a.m.