Triple
T22771740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Montaza public beach |
E563575
|
entity |
| Predicate | commonVisitorActivity |
P1164
|
FINISHED |
| Object | photography of Montaza Palace |
—
|
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: photography of Montaza Palace | Statement: [Montaza public beach, commonVisitorActivity, photography of Montaza Palace]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commonVisitorActivity Context triple: [Montaza public beach, commonVisitorActivity, photography of Montaza Palace]
-
A.
typicalActivity
chosen
Indicates that an entity is commonly or characteristically engaged in a particular activity.
-
B.
activityTime
Indicates the time period during which an activity occurs or is scheduled to take place.
-
C.
coordinatesActivitiesOf
Indicates that one entity organizes, aligns, or manages the activities of another entity or group of entities so they work together effectively.
-
D.
hostsActivitiesOf
Indicates that one entity provides the venue, context, or platform in which the activities of another entity take place.
-
E.
activityFrequency
Indicates how often a particular activity occurs within a given time period.
- 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_69e24554497c819080b996e071de27c2 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17b5e77d081909ea58d55c240662c |
completed | April 29, 2026, 3:30 a.m. |
| PD | Predicate disambiguation | batch_69eed2b88d88819096015deb6a648801 |
completed | April 27, 2026, 3:06 a.m. |
Created at: April 17, 2026, 3:27 p.m.