Triple
T31634210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | @DemGovs |
E807251
|
entity |
| Predicate | usesHashtags |
P9354
|
FINISHED |
| Object | election-related hashtags |
—
|
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: election-related hashtags | Statement: [@DemGovs, usesHashtags, election-related hashtags]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesHashtags Context triple: [@DemGovs, usesHashtags, election-related hashtags]
-
A.
usedInHashtag
Indicates that something (such as a word, phrase, or entity) is employed as part of a hashtag.
-
B.
hashtag
chosen
Indicates that an entity is associated with or labeled by a specific hashtag, typically used for categorization or topic tagging.
-
C.
hasOfficialHashtag
Indicates that an entity is associated with a designated official hashtag used for identification or promotion.
-
D.
hasHashtagInTitle
Indicates that a title contains a specific hashtag.
-
E.
hasSocialEngagement
Indicates that an entity participates in or maintains some form of social interaction, activity, or relationship with others.
- 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_69f348d892948190915f8facacb9568c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a8e6ed208190a58f1cfd8ea441f4 |
completed | May 3, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69f6a757c6e081908e37631e5d8d246b |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 30, 2026, 10:46 p.m.