Triple
T32348667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Africa/Casablanca |
E826533
|
entity |
| Predicate | observesTimeFor |
P176367
|
FINISHED |
| Object | Greater Casablanca area |
—
|
NE NERFINISHED |
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: Greater Casablanca area | Statement: [Africa/Casablanca, observesTimeFor, Greater Casablanca area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: observesTimeFor Context triple: [Africa/Casablanca, observesTimeFor, Greater Casablanca area]
-
A.
observedFor
Indicates that one entity is monitored, watched, or examined over a period of time for the benefit or analysis of another entity.
-
B.
observedWhen
Indicates that one entity is observed or recorded at a specific time or under particular temporal conditions.
-
C.
observesSameTimeAs
Indicates that two observation events occur simultaneously or during the same time interval.
-
D.
observationBestTime
Indicates that there is an identified optimal or most suitable time period during which the observation of something should be made.
-
E.
observesDay
Indicates that an entity recognizes, commemorates, or practices a particular day (such as a holiday, event, or observance) according to some calendar or tradition.
- 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_69f34914dfc48190a390cd0720d9e86f |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6e02ba6b881908dfafc52d3b75f1c |
completed | May 3, 2026, 5:42 a.m. |
| PD | Predicate disambiguation | batch_69f6de09c2f481909f8b2545d3208c9f |
completed | May 3, 2026, 5:32 a.m. |
| PDg | Predicate description generation | batch_69f6e029f0f88190b1f88d82a4a2cabd |
completed | May 3, 2026, 5:42 a.m. |
Created at: May 1, 2026, 12:49 a.m.