Triple
T2190910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andrew Jackson presidential election |
E49857
|
entity |
| Predicate | hasKeyCampaignTactic |
P36642
|
FINISHED |
| Object | mass rallies and parades |
—
|
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: mass rallies and parades | Statement: [Andrew Jackson presidential election, hasKeyCampaignTactic, mass rallies and parades]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasKeyCampaignTactic Context triple: [Andrew Jackson presidential election, hasKeyCampaignTactic, mass rallies and parades]
-
A.
testCampaign
Indicates that an entity is involved in or associated with a campaign conducted for testing, experimentation, or evaluation purposes.
-
B.
hasKeyAgency
Indicates that an entity serves as the primary responsible or controlling agency for another entity, action, or process.
-
C.
hasKeyActivity
Indicates that an entity is associated with or performs a primary or central activity.
-
D.
hasKeyAspect
Indicates that something possesses a central, defining, or particularly important feature or characteristic.
-
E.
hasKeyTopic
Indicates that something (such as a document, discussion, or resource) is centrally about or primarily focused on a particular topic.
- F. None of above. chosen
Provenance (4 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_69a88aaba3c48190b351cab9b26989ff |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abbf3f5e008190beda3ce5d77209e0 |
completed | March 7, 2026, 6:01 a.m. |
| PD | Predicate disambiguation | batch_69abbda52328819089c7ab111bebb0ca |
completed | March 7, 2026, 5:54 a.m. |
| PDg | Predicate description generation | batch_69abbea8bd4881908f72019a5acf6174 |
completed | March 7, 2026, 5:59 a.m. |
Created at: March 4, 2026, 7:46 p.m.