Triple
T9892888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ByteDance |
E181496
|
entity |
| Predicate | product |
P490
|
FINISHED |
| Object | Feishu |
E828493
|
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: Feishu | Statement: [ByteDance, product, Feishu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Feishu Context triple: [ByteDance, product, Feishu]
-
A.
Feishu
chosen
Feishu is a collaborative office and messaging platform developed by ByteDance that integrates chat, video conferencing, cloud documents, and workplace management tools.
-
B.
DingTalk
DingTalk is a Chinese enterprise communication and collaboration platform that offers messaging, video conferencing, task management, and office automation tools for businesses.
-
C.
Zoho WorkDrive
Zoho WorkDrive is a cloud-based file storage, collaboration, and team content management platform offered by Zoho.
-
D.
Zoho Sheet
Zoho Sheet is a cloud-based spreadsheet application by Zoho that supports collaborative editing, data analysis, and integration with other Zoho productivity tools.
-
E.
Yammer
Yammer is an enterprise social networking service that enables employees within an organization to communicate, collaborate, and share information in a secure, Facebook-like environment.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca8283a6708190801af7a25a7ebb9f |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cdb4814a3c8190ab1fd7f755a44508 |
completed | April 2, 2026, 12:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d20d888b408190a68ff55d63558478 |
completed | April 5, 2026, 7:21 a.m. |
Created at: March 30, 2026, 8:39 p.m.