Triple
T3143755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Today (U.S. TV program) |
E65713
|
entity |
| Predicate | notableLocationFeature |
P46334
|
FINISHED |
| Object | outdoor plaza audience area |
—
|
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: outdoor plaza audience area | Statement: [Today (U.S. TV program), notableLocationFeature, outdoor plaza audience area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableLocationFeature Context triple: [Today (U.S. TV program), notableLocationFeature, outdoor plaza audience area]
-
A.
notableLocation
Indicates that a location is especially significant, prominent, or noteworthy in relation to the subject.
-
B.
notableLocationFeatured
Indicates that a particular location is prominently highlighted or showcased in relation to the subject.
-
C.
notablePlace
Indicates that a place is especially significant, famous, or noteworthy in relation to the subject.
-
D.
notableRouteFeature
Indicates that a route is associated with a distinctive or significant feature, such as a landmark, characteristic terrain, or other notable aspect along its path.
-
E.
notableLocationDocumented
Indicates that a specific location associated with an entity is recorded or documented as notable in some source or reference.
- 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_69ad8582f564819088c27e1f96153938 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada59489a88190b0962cef091f4ddb |
completed | March 8, 2026, 4:36 p.m. |
| PD | Predicate disambiguation | batch_69ad9dfa3d9081908425aa636bb9b897 |
completed | March 8, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69ada148e9108190b363dd0f1a94ac8e |
completed | March 8, 2026, 4:18 p.m. |
Created at: March 8, 2026, 3:05 p.m.