Triple
T19565821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moroccan forces |
E489579
|
entity |
| Predicate | frequencyOfAction |
P122812
|
FINISHED |
| Object | repeated sieges of Tangier |
—
|
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: repeated sieges of Tangier | Statement: [Moroccan forces, frequencyOfAction, repeated sieges of Tangier]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: frequencyOfAction Context triple: [Moroccan forces, frequencyOfAction, repeated sieges of Tangier]
-
A.
performedFrequency
Indicates how often an action or activity is carried out within a given time period.
-
B.
activityFrequency
chosen
Indicates how often a particular activity occurs within a given time period.
-
C.
isFrequentlyPerformedBy
Indicates that an action or activity is carried out often or on a regular basis by a particular entity.
-
D.
usesFrequency
Indicates that one entity employs or operates another entity at a specified rate, interval, or number of occurrences over time.
-
E.
fireFrequency
Indicates how often fire occurs or is expected to occur within a given area or 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63f777cf081909312b46ac09bce7c |
completed | April 20, 2026, 3 p.m. |
| PD | Predicate disambiguation | batch_69e514d4df3c8190b7e9b3b4fdf9452a |
completed | April 19, 2026, 5:45 p.m. |
Created at: April 10, 2026, 1:42 p.m.