Triple
T3850965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skyline Drive |
E85292
|
entity |
| Predicate | offersActivities |
P1983
|
FINISHED |
| Object | sightseeing |
—
|
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: sightseeing | Statement: [Skyline Drive, offersActivities, sightseeing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersActivities Context triple: [Skyline Drive, offersActivities, sightseeing]
-
A.
offersDayPlacesTo
Indicates that one entity provides or makes available daytime places or slots to another entity.
-
B.
offersActivity
chosen
Indicates that one entity provides or makes available a specific activity for another entity to participate in or use.
-
C.
offersTours
Indicates that one entity provides or makes available guided tours or tour services to another entity.
-
D.
offersDayPlaces
Indicates that an entity provides or makes available daytime places or slots (e.g., for care, activities, or services) to others.
-
E.
activityType
Indicates the specific kind or category of action or event that an entity is engaged in or associated with.
- 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_69aed936de1c81908f91bed80f70abb2 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeebcf67788190975105131baabc4b |
completed | March 9, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69aee750377c8190af70c79768c0edd8 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:19 p.m.