Triple
T6459979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xanga |
E142091
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Xanga Premium |
E142091
|
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: Xanga Premium | Statement: [Xanga, hasPart, Xanga Premium]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xanga Premium Context triple: [Xanga, hasPart, Xanga Premium]
-
A.
Xanga
chosen
Xanga is a now largely defunct early 2000s social networking and blogging platform that allowed users to create personal blogs, share posts, and interact through comments and subscriptions.
-
B.
Angelfire
Angelfire is a web hosting and website-building service best known for providing free personal homepages during the early days of the consumer internet.
-
C.
Ning
Ning is an online platform that enables users and organizations to create their own custom social networks and communities.
-
D.
Wapserveen
Wapserveen is a small village in the Dutch province of Drenthe, known for its rural character and surrounding natural landscapes.
-
E.
Xumo
Xumo is a free, ad-supported streaming television service offering a variety of live and on-demand channels and content.
- 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_69c008d2f91c8190a8178767a35e08fc |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c069f50ea88190af29c8c249ff2b69 |
completed | March 22, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c64be1fad88190af07b7053811e3f2 |
completed | March 27, 2026, 9:20 a.m. |
Created at: March 22, 2026, 4:48 p.m.