Triple
T37906672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spanish Masked World |
E945572
|
entity |
| Predicate | hasPossibleAudience |
P793
|
FINISHED |
| Object | tourists |
—
|
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: tourists | Statement: [Spanish Masked World, hasPossibleAudience, tourists]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPossibleAudience Context triple: [Spanish Masked World, hasPossibleAudience, tourists]
-
A.
hasAudience
chosen
Indicates that an entity is intended to be received, viewed, or engaged with by a particular group of people.
-
B.
hasAudienceReach
Indicates the extent or scope of people or groups that are exposed to, can access, or are targeted by a particular entity, message, or activity.
-
C.
hasAudienceSection
Indicates that something includes or is associated with a specific section designated for an audience.
-
D.
hasAudienceLevel
Indicates that something is intended for, suitable for, or targeted at an audience with a specific level of knowledge, experience, or proficiency.
-
E.
hasAudiencePolicy
Indicates that there is a specified rule or policy governing which audience or group is allowed to access, view, or receive something.
- 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_69f76ef20bb0819088b5b6ceecb0b8fc |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fff86e544c81908063f61b876c9d78 |
completed | May 10, 2026, 3:15 a.m. |
| PD | Predicate disambiguation | batch_69fff7e7cb688190977eeca41aad25b9 |
completed | May 10, 2026, 3:13 a.m. |
Created at: May 3, 2026, 4:20 p.m.