Triple
T14548288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trading & Investment Group |
E341343
|
entity |
| Predicate | roleWithinSamsungCT |
P114891
|
FINISHED |
| Object | core trading arm |
—
|
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: core trading arm | Statement: [Trading & Investment Group, roleWithinSamsungCT, core trading arm]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleWithinSamsungCT Context triple: [Trading & Investment Group, roleWithinSamsungCT, core trading arm]
-
A.
roleAtSiebelSystems
Indicates that an entity held a specific role or position at Siebel Systems.
-
B.
roleInTesla
Indicates that one entity holds or held a specific role, position, or function within the organization Tesla.
-
C.
roleInProductLine
Indicates the specific functional or organizational role an entity holds within a particular product line.
-
D.
roleWithinBoeing
Indicates that one entity holds or has held a specific role, position, or function within the organization Boeing.
-
E.
roleAtTransmeta
Indicates that an entity holds or held a specific role or position at the organization Transmeta.
- 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_69d822db9c8481908213ceb39585f792 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb2ed2b4c8190945bd26531c71f1f |
completed | April 14, 2026, 9:34 p.m. |
| PD | Predicate disambiguation | batch_69de5c546c7081909e27d504ec360c5c |
completed | April 14, 2026, 3:25 p.m. |
| PDg | Predicate description generation | batch_69de610330a48190b558235a14c0dc9f |
completed | April 14, 2026, 3:45 p.m. |
Created at: April 10, 2026, 1:23 a.m.