Triple
T25447755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dar es Salaam Stock Exchange |
E637684
|
entity |
| Predicate | isPrincipalStockExchangeOf |
P41816
|
FINISHED |
| Object | Tanzania |
E19037
|
NE 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: Tanzania | Statement: [Dar es Salaam Stock Exchange, isPrincipalStockExchangeOf, Tanzania]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPrincipalStockExchangeOf Context triple: [Dar es Salaam Stock Exchange, isPrincipalStockExchangeOf, Tanzania]
-
A.
mainStockExchangeOf
chosen
Indicates that one entity serves as the primary stock exchange on which the other entity (typically a company or financial instrument) is chiefly listed or traded.
-
B.
hasStockExchange
Indicates that an entity is associated with or listed on a particular stock exchange.
-
C.
isPrimarySecuritiesMarketOf
Indicates that a market serves as the main or principal venue where a particular entity’s securities are initially issued, listed, or predominantly traded.
-
D.
isOneOfLargestStockExchangesIn
Indicates that an entity ranks among the largest stock exchanges within a specified country or region.
-
E.
issuerStockExchangeCode
Indicates the stock exchange code where the issuer’s securities are listed or traded.
- F. None of above.
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_69e75db7c5048190b8da9cd7eeedb610 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f6640168948190811bd5f933a87cf5 |
completed | May 2, 2026, 8:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a10896f9a8081908edb3db726d26589 |
completed | May 22, 2026, 4:50 p.m. |
| PD | Predicate disambiguation | batch_69f6633451948190bcc0410602bb4914 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 21, 2026, 2:02 p.m.