Triple
T7170057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caniacs |
E167170
|
entity |
| Predicate | associatedWithHashtag |
P9354
|
FINISHED |
| Object | #Caniacs |
—
|
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: #Caniacs | Statement: [Caniacs, associatedWithHashtag, #Caniacs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithHashtag Context triple: [Caniacs, associatedWithHashtag, #Caniacs]
-
A.
hashtag
chosen
Indicates that an entity is associated with or labeled by a specific hashtag, typically used for categorization or topic tagging.
-
B.
hasOfficialHashtag
Indicates that an entity is associated with a designated official hashtag used for identification or promotion.
-
C.
mentionedWith
Indicates that two entities are mentioned together or in close association within the same context, such as a document, sentence, or conversation.
-
D.
associatedWithFlag
Indicates a relationship where an entity is linked or connected to a particular flag, such as a national, organizational, or symbolic banner.
-
E.
associatedWithLabel
Indicates that an entity is connected or related to a particular label or tag used to categorize or identify it.
- 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_69c68888c10c819095e0383020225758 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e85d8f208190915f6f4c05988b63 |
completed | March 27, 2026, 8:28 p.m. |
| PD | Predicate disambiguation | batch_69c6e1ce5f048190808c378a980f7bb6 |
completed | March 27, 2026, 8 p.m. |
Created at: March 27, 2026, 2:48 p.m.