Triple
T19363303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sikandra Rao |
E484333
|
entity |
| Predicate | hasRegionalTrade |
P135649
|
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: [Sikandra Rao, hasRegionalTrade, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRegionalTrade Context triple: [Sikandra Rao, hasRegionalTrade, true]
-
A.
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.
-
B.
regionalEconomicIntegration
Indicates an economic relationship where multiple regions coordinate and harmonize their markets, policies, and regulations to facilitate freer movement of goods, services, capital, and sometimes labor among them.
-
C.
hasCustomsUnion
Indicates that two or more entities participate in a customs union, sharing a common external tariff and removing customs duties between them.
-
D.
hasFreeTradeAgreement
Indicates that two entities are linked by a formal free trade agreement that reduces or eliminates trade barriers between them.
-
E.
hasCrossBorderTrade
Indicates that there is trade or commercial exchange occurring between entities located in different countries or jurisdictions.
- 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_69d8e8d305088190ad13571532aa454c |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e619a897008190a2c62a50ca60de2d |
completed | April 20, 2026, 12:18 p.m. |
| PD | Predicate disambiguation | batch_69e4fd54f8e48190956e73dd8969164a |
completed | April 19, 2026, 4:05 p.m. |
| PDg | Predicate description generation | batch_69e5004c23308190a087b7941a90725f |
completed | April 19, 2026, 4:18 p.m. |
Created at: April 10, 2026, 1:34 p.m.