Triple
T1065025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mardi Gras celebrations |
E22989
|
entity |
| Predicate | hasSocialAspect |
P13854
|
FINISHED |
| Object | street revelry |
—
|
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: street revelry | Statement: [Mardi Gras celebrations, hasSocialAspect, street revelry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSocialAspect Context triple: [Mardi Gras celebrations, hasSocialAspect, street revelry]
-
A.
hasSocialIdentity
Indicates that an entity possesses or is associated with a particular social identity, such as a role, group membership, or socially recognized status.
-
B.
hasViewOnSociety
Indicates that an entity holds a particular perspective, opinion, or stance regarding society or social structures.
-
C.
hasSocialStructure
Indicates that an entity exhibits an organized pattern of social relationships or hierarchy among its members.
-
D.
has
chosen
Indicates that one entity possesses, owns, contains, or includes another entity as part of its state or composition.
-
E.
hasNotableSubject
Indicates that an entity is associated with a subject that is particularly significant, prominent, or noteworthy in relation to 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_69a493dada0481909c43649f9843ea91 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b90f91248190ace1534a51b82bdd |
completed | March 1, 2026, 10:09 p.m. |
| PD | Predicate disambiguation | batch_69a4b7359eb881909c868a558861cc18 |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:42 p.m.