Triple
T6001356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TD Direct Investing |
E133602
|
entity |
| Predicate | hasTradingPlatform |
P12491
|
FINISHED |
| Object |
TD app
TD app is a mobile trading and account management application offered by TD Direct Investing for buying, selling, and monitoring investments.
|
E560633
|
NE FINISHED |
How this triple was built (4 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: TD app | Statement: [TD Direct Investing, hasTradingPlatform, TD app]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TD app Context triple: [TD Direct Investing, hasTradingPlatform, TD app]
-
A.
TD
TD is a UK postcode area covering parts of the Scottish Borders and northern England, including towns such as Galashiels and Berwick-upon-Tweed.
-
B.
TD
TD is the two-letter ISO 3166-1 alpha-2 country code assigned to Chad.
-
C.
TD
TD is the stock ticker symbol for The Toronto-Dominion Bank, one of Canada’s largest multinational banking and financial services institutions.
-
D.
STM mobile app
STM mobile app is the official mobile application of Montréal’s public transit agency, providing users with tools to plan trips, check schedules, and access real-time transit information.
-
E.
DingTalk
DingTalk is a Chinese enterprise communication and collaboration platform that offers messaging, video conferencing, task management, and office automation tools for businesses.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: TD app Triple: [TD Direct Investing, hasTradingPlatform, TD app]
Generated description
TD app is a mobile trading and account management application offered by TD Direct Investing for buying, selling, and monitoring investments.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TD app Target entity description: TD app is a mobile trading and account management application offered by TD Direct Investing for buying, selling, and monitoring investments.
-
A.
TD
TD is a UK postcode area covering parts of the Scottish Borders and northern England, including towns such as Galashiels and Berwick-upon-Tweed.
-
B.
TD
TD is the two-letter ISO 3166-1 alpha-2 country code assigned to Chad.
-
C.
TD
TD is the stock ticker symbol for The Toronto-Dominion Bank, one of Canada’s largest multinational banking and financial services institutions.
-
D.
STM mobile app
STM mobile app is the official mobile application of Montréal’s public transit agency, providing users with tools to plan trips, check schedules, and access real-time transit information.
-
E.
DingTalk
DingTalk is a Chinese enterprise communication and collaboration platform that offers messaging, video conferencing, task management, and office automation tools for businesses.
- F. None of above. chosen
Provenance (5 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_69c00872444c8190bfaf1739dcec765c |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04ee7c0e08190a6e78969448b070a |
completed | March 22, 2026, 8:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1088366f08190bd65374d7a44fbc8 |
completed | March 23, 2026, 9:31 a.m. |
| NEDg | Description generation | batch_69c1094d6d408190abde0d2e582c15a5 |
completed | March 23, 2026, 9:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c109c333208190b90911e0cab58377 |
completed | March 23, 2026, 9:37 a.m. |
Created at: March 22, 2026, 4:05 p.m.