Triple
T15037464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NGX |
E378512
|
entity |
| Predicate | tradingMode |
P114890
|
FINISHED |
| Object | electronic trading |
—
|
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: electronic trading | Statement: [NGX, tradingMode, electronic trading]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tradingMode Context triple: [NGX, tradingMode, electronic trading]
-
A.
typeOfTrading
chosen
Indicates a relationship where one entity specifies the kind or category of trading activity associated with another entity.
-
B.
tradingApproach
Indicates the method or strategy an entity uses to conduct trading activities or make trade-related decisions.
-
C.
tradingSegment
Indicates that one entity operates within, or is associated with, a specific trading segment or market subdivision for transactional activities.
-
D.
tradingStatus
Indicates the current state or condition of an entity’s ability to be traded or engaged in trading activities.
-
E.
marginTrading
Indicates engaging in trading activities using borrowed funds or leverage, typically by using existing assets as collateral.
- 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded82cf3848190b0b2b6c9e65bc70b |
completed | April 15, 2026, 12:13 a.m. |
| PD | Predicate disambiguation | batch_69de9a69d7848190b2b4662dd30f20e9 |
completed | April 14, 2026, 7:50 p.m. |
Created at: April 10, 2026, 2:59 a.m.